Senior Big Data Engineer (Healthcare)

Remote (Ukraine only) Big Data Data Science Engineering

Required skills

Java / expert
Python / expert
English / strong

We are seeking a talented Senior BigData Engineer to work on an American startup located in Washington D.C. with lots of challenging and exciting tasks.

Customer

We are cooperating with an American healthcare startup, and together with their team, we work with a lot of data. This project is an ideal perspective for those who don’t like working in a bureaucratic environment. You will have minimum meetings that will help you create effective and prompt solutions to all emerging issues.

The customer is open to new ideas and proposals.

Project

You will be a part of a Data Engineering Team, developing the core of a cloud-based data platform. Data Engineers are responsible for the project data flows development, building dynamically configurable ingestion pipelines, new features and architecture development, etc.

Requirements

  • Solid development experience with Java or Python
  • Experience with Airflow
  • Experience designing Data Lakes
  • Experience designing Data Warehouses
  • Experience with NoSQL and RDBMS technologies
  • Data processing frameworks: Kafka Streams, Storm, Spark, Flink, etc.
  • Hadoop Ecosystem: YARN, HDFS, Pig, Hive, etc.
  • ETL, data parsing, have an experience of working with different data types (Excel, EDI, CSV, etc.)
  • Understanding of distributed computing, microservices, and Lambda Architecture principles
  • Cloud platforms: AWS, Azure, or Google Cloud
  • Experience with building and maintaining continuous integration/delivery pipelines

 

Would be a plus:

  • Experience with serverless solutions (AWS Lambda, Azure Function App)
  • Experience with infrastructure-as-code solutions (Terraform, Cloudformation)
  • Experience with Snowflake
  • Designing and implementing CI/CD practices

Responsibilities

  • Develop and support a hybrid cloud ingestion platform that collects data from different sources based on dynamic configuration
  • Design Data Warehouse structures and relations using Snowflake
  • Apply Data Governance practices to meet regulatory requirements for data security and data quality

WHY US

  • Health & Legal support
  • Discount program
  • Sport activities
  • Outstanding offices
  • Comfortable place in a cozy room
  • Continuous education
  • Flexible schedule
  • Remote work
  • Diversity of Domains & Businesses
  • Variety of technology

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