Job Openings Data Engineer III (Health Tech)

About the job Data Engineer III (Health Tech)

We are recruiting on behalf of one of the most prominent health-tech company. 

Key Job Responsibilities:

  • Write clean, scalable and testable code to be run
  • Build and support reusable framework(s) to ingest, integrate and provision data
  • Design and build mission-critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events, and batch), data integration, data curation
  • Build analytics tools that utilize the data pipeline to provide actionable insights for analytics and data scientist team members.
  • Monitor performance and continuously improve the infrastructure requirements
  • Technical know-how of at least one programming stack - preferably Python
  • Showcase expertise in data warehousing, relational database architectures
  • Have working knowledge in cloud-based deployments in AWS/GCP
  • Should be able to thrive in a fast-paced, quickly evolving, tech start-up environment
  • Work collaboratively with product managers, data scientists as well as business partners and actively participate in design thinking session
  • Participate in design and code reviews
  • Motivate, coach, and serve as a role model and mentor for other Data Engineering team associates/members that leverage the platform


  • An Engineering Degree - B.E/B.Tech/MS/ in any stream – Computer Science preferred with 5 years of experience
  • Minimum 3 years experience in Big Data tools - Kafka, Apache Flink, ElasticSearch
  • Experience development in Python, shell scripting
  • Experience in data warehouse/data lake technical architecture
  • Strong familiarity with batch processing and workflow tools such as AirFlow, NiFi, Pentaho
  • Experience with Database Architecture & Schema design
  • Knowledge in AWS stack - AWS Redshift, S3, SQS, SNS, Lambda
  • Knowledge in GCP stack - Big Query and related could be a plus
  • Exposure to NoSQL Databases - Dynamodb, MongoDB
  • Exposure to Serverless computing
  • Understanding of modern APIs (REST, JSON, etc.)