At Density, we build one of the most advanced people sensing systems in the world. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class. 

We build systems that are real-time, accurate, and anonymous by design. Our systems help today’s largest companies understand how their buildings get used. We have counted hundreds of millions of people. 

Counting people in “real-time” is unique and particularly hard to achieve. It allows a user to walk into a room, beneath our sensor, and see the room’s occupancy increment 700ms later. 

Today alone, Density will ingest over 1m events. In the coming year, our sensor network is on track to grow ten-fold. The overall system load is exploding. Maintaining our low latency standards requires an increasingly thoughtful system. 

We’re architecting infrastructure where annual, unscheduled downtime is measured in minutes. We’re building intelligent redundancies so missed events are an oddity. We’re constructing an exceptional engineering team to support always-on, intelligible analytics generated on the fly. 

This role reports to our Director of Data Science & Engineering.

As a Data Scientist at Density, you will work on algorithms developed for applications deployed on state-of-the-art remote devices as well as our cloud platform. The data you will work with includes ToF depth data, point clouds from radar, and device parameters. Algorithms include computer vision segmentation identification, 3D point cloud surface analysis, and optimization algorithms for sensor tuning. Join a team of experienced data scientists as we expand what is possible.

# In this role you will:

* Work with depth imaging and 3D point clouds.
* Collaborate with hardware and software engineers to design cutting edge algorithms for spatial segmentation and analysis.
* Analyze large data sets to optimize the configuration of intelligent hardware sensor devices.
* Use a deep understanding of math to adapt and extend existing algorithms to solve new problems. 
* Ideate on available data sets to come up with cool new mash-ups and products.

# The ideal candidate will have:

* 3+ years experience as a data scientist.
* Extensive knowledge of Python programming for data science.
* Familiarity with Python libraries such as NumPy, SciPy, Pandas, and SciKitLearn.
* Knowledge of image processing with libraries like OpenCV, ImageIO, NumPy, TensorFlow, or Keras.
* Exposure to working with 3D point cloud data.
* A working knowledge of SQL.
* You have an awareness of your weak spots and a genuine desire to improve.
* You’re looking for a long-term role with a company that has long-term ambition. 
* You can balance a demanding workload, discern priorities, and communicate tradeoffs effectively

# The icing on the cake:

* Apache Spark (PySpark) - An ability to write and debug Spark jobs.
* Apache Airflow - Experience configuring DAGs for job execution.
* GPU configuration experience with Cuda, TensorFlow, PyTorch, or OpenCV.
* Linux command line - Working knowledge of Linux command line and security.
* AWS cloud experience - EC2, S3, and IAM configuration and automation.
* ETL - Experience implementing and monitoring production data pipelines.
* Experience with Python remote kernels (with Spyder or PyCharm).
* Knowledge of big data streaming tools like Spark Streaming, Flink, or Kafka Streams.
* Familiarity with C++

# What we bring:

* A team hailing from places like Apple, Meraki, HashiCorp, Stanford, NASA, and beyond.
* $100M from investors such as Kleiner Perkins, Founders Fund, and Upfront Ventures.
* A work environment full of fun, smart, dedicated, and kind teammates.
* Our principles - Be Humble, Seek Feedback, and Solve the Fundamental Problem.
* Excellent health benefits including medical, dental, vision, mental, reproductive, and active. Mandatory PTO and more.

Python

Spark

Data Scientist

Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchain platform in the world, we share the passion to code, create, and ultimately build an open, accessible and fair financial future, one piece of software at a time.

We are looking for a Data Scientist to join our Data Science and Business Intelligence team, to work closely with the Brokerage team on fraud mitigation. Exploiting data is core to our business, and in this role you will have an opportunity to:

Enable world-class user experiences across all our products by developing and deploying models
Support the organization scaling up trading and brokerage volume by suggesting and deploying Fraud mitigation infrastructure, tools and models.. 
We are looking for a Data Scientist who can leverage data and develop models to improve how Blockchain.com operates and how we serve our customers.

# WHAT YOU WILL DO

In this role you will do some/all of:

* Develop and deploy models that improve our user experience across all areas of our product, including onboarding, fraud, engagement and delivering insights to users.
* Support the company through accurate, timely and actionable business intelligence.
* Develop risk-scoring models for users and payments
* Analyse customer behaviors, rules effectiveness, risk strategies, money laundering patterns to propose and make changes.
* Provide a frictionless onboarding experience (KYC flows, document verification, risk scoring), and multiple simplified onboarding flows.
* Work in a cross-functional team with products, data-science, compliance, customer success, frontend and backend.
* You will work on both real-time and long-term fraud modelling, monitoring and prevention.
* Identify and prevent fraud across payment methods (Cards, ACH, SEPA, Wire Transfers, crypto, etc.), products and customer segments.
* You will drive product adoption: the main focus of the risk/fraud team is to drive brokerage volume upwards by opening products to new geographies, removing payments restrictions and reaching new customer cohorts.

# WHAT YOU WILL NEED

* The foremost quality for this position or any position at Blockchain is integrity.
* Fluency in the data science tech stack, including Python (pandas, numpy, scipy, matplotlib, scikit-learn) for data science/machine learning, analytics/visualisation/BI tools, and SQL
* Experience with data engineering concepts, ETL pipelines, and working with the Google Cloud Platform
* Experience in one domain among risk/fraud detection, payments processing, KYC, fraud modeling, AML.
* Strong understanding of probability, statistics and machine learning algorithms
* Commercial mind focused on impact, ability to translate business problems into a data science roadmap, and experience productionising results
* Strong communication skills, experience working in cross-functional teams and communicating technical results to stakeholders
* The highest of standards regarding security and privacy practices to keep our users safe.
* Desire to foster a hardworking, collaborative and creative team culture in one of the most challenging and dynamic industries in tech.
* A passion for data and crypto :)

# COMPENSATION & PERKS

* Full-time salary based on experience and meaningful equity in an industry-leading company.
* The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an exciting, emerging industry.
* Unlimited vacation policy; work hard and take time when you need it.
* Remote working environment.
* Apple Equipment.

# APPLICATION

* LinkedIn profile.
* Link to github, stackoverflow, personal website and/or blog (if applicable).

Machine learning

Senior Data Scientist

Electra believes in the capabilities of data analytics and machine learning to improve the performance of batteries when the entire system the EV operates in is accounted for. In this position, you will work with colleagues deeply familiar with electric vehicle systems, laboratory data, and real-world samples in order to optimize the charging and discharging of EV battery systems.

# Responsibilities

* Using collected data from Electra partners, apply advanced statistical models and machine learning to extract and refine models such as:
* Anticipated power demand throughout an active driving cycle using route planning data
* Optimized driving velocity throughout an active driving cycle to maximize driving efficiency & battery life
* Optimal cell core temperature to minimize DC fast charge time
* Optimal current & timing for overnight charging to reduce electricity cost, extend battery life

# More

* Support in the collection & cleaning of data for model training
* Lead the integration of these models into an existing EV simulation codebase with the support of other team members
* Continuously explore novel machine learning techniques to improve the performance of the adaptive models
* Support documentation pertaining to modeling techniques and deployment
* Manage Electra internal documentation pertaining to the system modeling, its integration into the codebase, and metrics regarding the accuracy of the models.
* Lead technical writing for patents which highlight advances in battery modeling & controls
* Develop visualization tools for geospatial and temporal datasets

# Qualifications

* Master’s or PhD in a related field (e.g., CS, Operations Research, Software Engineering, Statistics)
* Strong programming skills with a solid foundation in data structures and algorithms
* Proficiency in data analysis, modeling, and web services in Python
* Proficiency in SQL relational databases and/or NoSQL databases
* Experience with statistical data analysis and machine learning such as linear models, time-series forecasting, or neural networks

# Bonus

* Passionate about sustainable transportation and innovations within the field
* Demonstrate a strong systems engineering understanding for EV and mobility applications
* Experience with Agile project development & management
* Interest in product strategy and management to plan future development
* Strong communication and preference for working in teams

At Turquoise, we're making healthcare pricing simpler, more transparent and lower cost for everyone. Have you or a family member ever gotten an MRI, or a lab, or even a straightforward surgery without knowing the cost in advance? That's bonkers, right? We're going to fix that.

We’ve already launched our consumer-facing website that allows anyone to search and compare hospital insurance rates - something never before possible. Now, we're rolling out a suite of new products for providers, payers and patients to clean up the healthcare transaction. We want to change how the industry works from the inside out.

We're a seed-stage startup backed by top VCs. More importantly, we're a multi-talented group of folks (moonlighting as authors, bass players, improv instructors, chefs, linguists and trivia buffs) with a big passion for improving healthcare. We're eager to find ambitious yet well-rounded teammates to join us on this mission.

# The Role

We’re looking for a driven, entrepreneurial candidate that's motivated to revamp healthcare's broken payment infrastructure. We value creative, outside-the-box thinkers that back their ideas with revenue cycle expertise, technical knowledge and action. This role will be a key support function for a new product line and inform product development and feature releases.

# In this role, you will:

* Create data pipelines and connect new data sources (claims, contract rates and demographics data, eg) to empower internal and external business folks
* Model payment scenarios with attention to quality, patient volume and market benchmark rates
* Distribute insights tangibly downstream through our product, reports and publications
* Apply evolving industry standard data science techniques and toolkits to your analyses
* Evaluate new data sources to incorporate into our product to improve our customer experience
* Provide client technical support as needed for our price transparency data products
* Draft internal and external technical documentation
* Fluidly meet the sporadic daily tasks of a small, growing startup
* Help build out the rest of the data team at Turquoise

# Requirements

* Bachelor’s degree, or equivalent experience/knowledge. We are happy to work with strong candidates with non-traditional educational backgrounds
* 2+ years demonstrated experience developing custom data models and distributing them in digestible end products
* Fluency in your language of choice for analyzing large, sprawling datasets
* SQL knowledge a must
* Python experience preferred
* You are a spreadsheet master, which allows you to communicate with customers and analysts. But your work goes far beyond Excel
* Revenue cycle, healthcare payments and/or medical billing experience is a plus
* Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs. You can problem solve independently
* Expert communication of technical details in simple terms to clients and internal stakeholders
* Team player with zero ego
* Ability to work effectively in a remote environment

# Benefits

* Health Care Plan (Medical, Dental & Vision)
* Unlimited Time Off
* Family Leave (Maternity, Paternity)
* Work From Home
* Stock Option Plan

# Job Location

Turquoise Health is a fully remote company based in the US. Our founding team is located in California (San Diego) and London. We work with team members and contractors in the US and around the world, but we operate on US business hours and work with clients entirely based in the US.

For this role, we are generally seeking US-based candidates, but we are willing to consider strong candidates in other countries.

If you’re interested in working with different technologies and passionate about solving a wide variety of problems and challenges, you’ll feel right at home at Chariot. Our customers bring us in to solve their most complex problems, guide their teams on new initiatives, and provide expert technology advice.

We are proud to be a 4 time winner of Philadelphia Top Workplaces!

# We are looking for data engineers who can:

* Design, develop, debug, and optimize data pipelines that perform ELT (extract, load, transform) of various data sources (as well as ETL where appropriate)
* Develop and deploy the required infrastructure for reliable pipeline execution, especially on cloud platforms, using IaC (infrastructure as code) tools
* Design and develop data warehouses for large data sets to support business intelligence, understanding end-to-end data needs and modeling accordingly
* Understand where data lakes fit, and how to take advantage of them
* Investigate data quality issues and perform root cause analysis
* Develop supporting utilities and tools

The ability to pick up and run with new technologies is vital. Here are ones we use (deep knowledge of some but not all required):

* Python (or other high level languages)
* SQL: Postgres, MySQL, Microsoft SQL Server, etc.
* Data warehouses: AWS Redshift, Google BigQuery, Snowflake
* NoSQL: Cassandra, AWS DynamoDB, ElasticSearch, etc
* Experience with various file formats, like Parquet and Avro
* Messaging and streaming: Kafka, AWS Kinesis, Apache Flink
* ETL job orchestration, such as Airflow, Dagster, or Luigi
* Big data parallel processing such as Spark and Hadoop
* Terraform, AWS CloudFormation
* Docker and Container Orchestration
* Logging / monitoring (such as ELK, Splunk, CloudWatch, Prometheus, DataDog)

The ability to quickly understand business domains and manage changing priorities is critical. You like getting your hands dirty with data, and are passionate about turning raw, changing production data into something useful for business. You enjoy working directly with business teams and stakeholders, and are eager to be part of an area of growth for Chariot Solutions.

# About Chariot Solutions

Chariot Solutions is a consulting firm specializing in software development, systems integration, mobile application development and training. The Chariot team includes many of the top software architects in the Philadelphia area, with deep technical expertise, industry knowledge and a genuine passion for software development.

* Our consultants also love learning, writing, and speaking.
* Chariot’s blog has a wide array of articles across languages, technologies, frameworks, etc.
* We host conferences such as the Philly Emerging Tech Conference.
* We host the Chariot TechCast podcast where we interview tech luminaries and even host our own weekly DevChat shows.

# We are committed to the well-being of our employees. Here are some of our benefits

* We take care of health, dental, and vision insurance, 100% paid for you and your family
* Paid maternity, paternity and family leave
* Attend an all expenses paid tech conference of your choice every year, in addition to the Emerging Technologies for the Enterprise conference (Philly ETE)
* Opportunities to present at meetups, conferences and run workshops
* A top of the line MacBook Pro or equivalent
* Free lunch Fridays when you’re in the office (post COVID)
* Flexible Spending Account (FSA)
* 401K retirement plan
* Short and Long Term Disability
* Subsidized gym membership
* Company stock
* Must be authorized to work in the U.S.

Our team is currently 100% remote due to COVID-19. We do not plan to return to our office or client sites until it is safe to do so.

Chariot Solutions provides equal employment opportunities to all employees and applicants without regard to religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, age, ancestry, physical or mental disability, genetic information, marital status or any other classification protected by applicable local, state or federal laws.

Snowflake

Senior Data Engineer

# About Hungryroot

Hungryroot is your personal grocer, powered by AI and the belief that food deeply impacts your daily life. You tell us a little about yourself, and we deliver healthy groceries to your door each week with recipes and meal planning support. Hungryroot helps you save time, save money, shop sustainably, and eat what makes you feel your best.

# About the opportunity

We’re hiring a Data Scientist, Personalization to advance the ways that Hungryroot delivers personalized groceries and recipes to customers every week.

Today Hungryroot sends hundreds of thousands of groceries each week to customers across the country, each with their own flavor preferences, dietary restrictions, and food occasion needs. Our algorithm takes in all of these signals and balances them against our inventory of delicious, perishable food products and customers’ love for variety in what they eat. The algorithm is at the center of what enables us to be our customers' personal grocery shopper and has driven the 7x growth we've had in the past year.

We learn about each customer’s taste via explicit signals like their preference for how often they receive an individual item and their star ratings of recipes, as well as implicit signals like their retention and weekly spend. There are big opportunities for advancing the algorithm, including identifying other predictive implicit signals via regressions, collecting new explicit signals from customers, leveraging collaborative filtering, and more. We then leverage that data in a combination of integer programming, logistic regression models, and factorization machine models.

This role will primarily be focused on developing predictive models to enable our broader algorithm to choose groceries and recipes that each customer is likely to love. You'll collaborate with Engineering to productionalize your models--or productionalize them yourself, depending on your experience and interest. And you'll work with Product and Analysts to design A/B tests of the models in production, to arrive at the optimal application of your models.

# Responsibilities include, but are not limited to:

* Bring an understanding of best practices in recommendation systems, to both the backend and user-facing frontend
* Develop predictive models that can be leveraged in the algorithm to predict what customers will love
* Collaborate with Engineering to productionalize your models and monitor their performance
* Collaborate with Product & Engineering to define, deploy, and report on AB experiments that drive customer retention via personalization
* Partner with Product and Design to come up with and launch customer-centric ways of collecting new actionable signals
* Report on the performance of your work

# Requirements:

* 2+ years in data science, product management, research, or related role
* Data science toolkit including regressions, predictive modeling, R/Python
* Ability to explain complex concepts clearly
* Product & Strategy sensibilities and ability to articulate how your work rolls up to the larger strategy
* Highly detail-oriented and organized
* A love of learning and the ability to keep up with a frequently changing environment

# Bonus points for:

* Integer programming experience
* Startup experience
* D2C and/or subscription business experience
* A passion for food

# Additional Information:

* Based in our Manhattan office just south of Madison Square Park (Note: we are currently working remotely and will support remote working indefinitely)
* Reports to our VP Product
* Competitive compensation + subsidized health benefits
* Unlimited vacation policy
* Monthly Hungryroot credit
* Universal paid parental leave
* A working environment filled with passionate, happy, smart people

A/B testing

We are looking for a Data Engineer for the core of our application. We are looking for a generalist software developer who loves learning new things and facing new challenges but we also value if you have some deep experience about specific topics such as scalability, XP practices, algorithms, web development, etc.

We work remotely but you can also work in Madrid offices. At the moment we are only seeking candidates in Europe (UTC+02:00 or similar).

Approximate salary range: € 45k - 55k.

If you don't have some of the requirements, but you are willing to learn, have an open mind and this job offer resonates with you, don't hesitate to contact us.

Nextail is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status

# We offer

A highly innovative and fast-paced environment. As in any startup, expect to find a team with an interesting mix of business profiles (without the slides), IT geeks, data scientists, and as a fashion tech startup, a few fashion victims. 

* The satisfaction of delivering something new to the world that will have a strong impact both on retailers’ top line and in customer satisfaction. Contribute to the development of cutting-edge artificial intelligence & machine learning technologies that will build the next generation of retail systems.
* The opportunity to work with top client decision-makers in the fashion retail industry and sharpen your business reasoning and interpersonal skills. Learn from peers from top consulting firms and the best global business schools.
* Flexibility in remote work and office hours, use of some of the most advanced collaborative tools.
* Periodic company get-togethers to meet the rest of the team.
* Compensation that includes a fixed+variable salary as well as company equity as we progress towards our Series B fundraising rounds.

# Who you will work with

* Joaquín Villalba (CEO): Founder of Nextail and former Head of Inditex Logistic's Operations for Europe for more than 4 years. After leaving Inditex, he worked as a freelancer consultant to improve the supply chain operation of different retailers.
* Juan Avedillo (COO): over 18 years of experience in technological transformation and innovation environments back him. He went through several different roles, industries and countries as a consultant in McKinsey & Company along 9 years. He also worked in The Cocktail as the technical practices lead.
* Julien Vantyghem: Will be your teammate. He was one of the first persons to join the company around 5 years ago. Since then he has been helping to build and maintain every data-related component. He is currently leading the efforts to migrate one of our worst-ageing parts of our systems. This is not only going to save us a good monthly expense on AWS, but also decrease the system's complexity.
* Abel González: He has been already a few years at Nextail and he has helped us develop integrations components, data infrastructure, and hardware. He is currently leading the Platform team, who will be your support when creating everything that we have mentioned. Some time ago someone priorized "doing kubernetes" and they haven't been able to finish it. For some reason Abel insists that we have to maintain that. He will mention that.

# Requirements

First of all, we are looking for a good workmate to join the team. We value working in a safe and constructive environment where everybody can thrive over any specific technical skill. 

In our team you will also find people focused on generating an impact in the company, rather than just taking on new task to develop. We expect that the person who joins us is as exited about this bias towards impact and action as we are. 

The requirements for this job are:

* Experience building scalable data platforms
* Experience with ETL processes
* Experience bulding pipelines for Data Science teams.
* Professional experience with AWS
* Experience with analytical and transactional databases
* Knowledge in IT security
* Knowledge in Data Auditing
* Knowledge in management of data permits

We will also positively value if you: 

* Have knowledge in analysis systems Big-Data/BI/ML
* Have knowledge of Python, and Ruby on Rails languages/frameworks

Europe

Data Engineer

The Center for New Data (newdata.org) is dedicated to measuring and addressing disparities and inequities in society. Bringing together industry data scientists and data engineers; socially conscious tech companies and impact organizations; and data journalists and academic researchers to use data for good is key to the Center’s success in tackling pressing social problems. Examples of recent projects:

Observing Democracy program focused on measuring barriers to equitable voting access, profiled by The New York Times and cited extensively by Stacey Abrams and the NAACP.
Covid Alliance program monitoring the implications of superspreader events, profiled by the Washington Post and leveraged by public health departments across the country.
A new program in development focused on measuring social determinants of health, in partnership with HBCU research institutions.

# Nature of Work & the Ideal Candidate

The ideal candidate will be able to organize design sessions with team leaders and ensure projects are scoped and resourced for success. This role will make high-level decisions and help scale analysis, data pipelines, and data visualization efforts at the speed necessary to make timely impacts on current issues.

Oversight will include organizing and resourcing cross-functional teams in coordination with our director of partnerships and volunteer sourcing partners. You will support development of the technology roadmap in collaboration with the executive director. Experience running a cross-functional engineering organization will be helpful.

Big data engineering, ETL processing, and machine learning experience will be important, as the organization has over 2 trillion rows of data so scalability matters. Cloud-based databases like Snowflake and dimensional modeling and ETL best-practices will be applied, in order to manage the heart of the Center for New Data’s data platform.

# Strategic, Technical & Managerial Responsibilities

* The position will be influential, as it is designed to carry on the responsibilities currently managed by our organization’s founder and interim CTO.
* Supporting technical roadmap development and managing cross-team dependencies.
* Assessing the resourcing requirements of the engineering teams and working with the volunteer coordinator to ensure proper resourcing and support.
* Designing technical architecture in line with strategic planning (supported by industry-leading data engineering architect volunteers). Guides teams in anticipation of future use cases and help them make design decisions to minimize the cost of future changes.
* Works with leadership on strategic organizational plans. Consistently works at a strategic level, influencing decisions to achieve organizational alignment on major goals.
* Critically review technical operations and programs, ensuring it’s appropriately broken down and prioritized across the organization.
* Managing and collaborating with high-skilled volunteers to ensure smooth implementation of projects and operation of the platform.
* Desired Leadership Qualities and Behavior

# The VP of Data Engineering role will be looked to for leadership in fostering our organization’s young culture in the following ways:

* Mentoring across the organization in an open, respectful, flexible, empathetic manner.
* Communicating in a clear, concise, effective, and audience-oriented way, ensuring teammates actively listen to others and are understood.
* Facilitating ample documentation and knowledge sharing across the organization.
* Working collaboratively to ensure technical processes align with organizational goals.
* Appetite for clean, maintainable, and tested code and ample documentation.
* A passion to shape the world through your work.

# Preferred Qualifications

The Center for New Data is dedicated to building a leadership team whose background reflects the diversity of our work. The ideal candidate brings professional experience including:

* 2+ years of data engineering management experience, ideally with distributed datasets.
* 3+ years of experience in engineering management.
* Strong communication and collaboration skills with a proven track record of success in fast-paced products, Back-End, DevOps, Data Science, and Security teams.

The ideal candidate is well versed in standard data engineering or large system design, such as:

* Airflow, Pachyderm, or equivalent modern data scheduling and execution framework, with an emphasis on best practices in Python and SQL on distributed datastores.
* Standard SQL, including advanced aspects like query optimization, indexing, common table expressions, window functions, materialized views, and the merge statement.
* Design patterns in ETL (e.g. dimensional modeling, insert vs truncate).
* Snowflake, Redshift, BigQuery, or similar large-scale distributed datastore experience.
* Cloud-heavy environments like AWS that leverage S3 and distributed file systems.
* Familiarity with DataBricks, Spark, and PySpark is a plus!

BigQuery

VP of Data Engineering

As a Data Engineer at Engage3, you will lead a technical team that architects, builds, maintains, scales, monitors, administrates and secures Engage3’s retail pricing platform. You will actively work in a multi-disciplinary fast-paced environment. Your ultimate goal is to create a solid, flexible, stable system that enables us to deliver best-in-class analytics products to retailers and brands in the face of massive growth.

This role requires a broad range of skills and abilities; you will be the functional lead, manage staff and do the work. Your primary responsibility is to enable data access, data processing and data products by architecting, maintaining, scaling, monitoring & securing.

* ML production system (AWS, Python)
* Data Warehouse (Snowflake)
* ETL system & data pipelines
* BI system (Tableau Online)

# As a qualified applicant:

* You have planned, built & managed data infrastructures in a public cloud
* You have strong experience with working with tools & platforms within the AWS ecosystem (EC2, S3, Aurora, Lambda, API Gateway, etc)
* You have in-depth experience with MySQL databases and Snowflake’s data warehouse
* You have managed a business intelligence system
* You have demonstrated experience of ETL developments
* You are proficient in at least one programming language like Python, Scala and Java
* You have familiarity with big data technologies like Hadoop, Spark, Hive
* You are comfortable with setting and meeting SLAs for data availability and quality
* You have an understanding of Machine Learning / AI principles in data engineering
* You are a mentor to your team & colleagues and have passion in sharing your knowledge
* You’ve worked in an Agile environment. You thrive on iteration. You make opportunities to bring value sooner rather than later.
* You value data-driven decisions. You are always looking for opportunities to quickly produce the right data to make decisions quickly. You keep cool under pressure.
* You are a self-driven, highly motivated technologist who can work with a high degree of autonomy, is able to prioritize effectively and drive the data architecture vision.