Chief Analytics Pipeline Architect

4 days ago

Jamnagar, India beBeeDataEngineer Full time

Job Title:Senior Data EngineerAbout This Role:We are building the future of healthcare analytics. Join us to design, build and scale robust data pipelines that power nationwide analytics and support our machine learning systems.This is a fully remote role open to candidates based in Europe or India with periodic team gatherings in Mountain View California.Design build and maintain scalable ETL pipelines using Python Pandas PySpark and SQL orchestrated with Airflow MWAA.Develop and maintain the SAIVA Data Lake/Lakehouse on AWS ensuring quality governance scalability and accessibility.Run and optimize distributed data processing jobs with Spark on AWS EMR and/or EKS.Implement batch and streaming ingestion frameworks APIs databases files event streams.Enforce validation and quality checks to ensure reliable analytics and ML readiness.Monitor and troubleshoot pipelines with CloudWatch integrating observability tools like Grafana Prometheus or Datadog.Automate infrastructure provisioning with Terraform following AWS best practices.Manage SQL Server PostgreSQL and Snowflake integrations into the Lakehouse.Participate in an on-call rotation to support pipeline health and resolve incidents quickly.Write production-grade code and contribute to design/code reviews and engineering best practices.Requirements:5+ years in data engineering ETL pipeline development or data platform roles flexible for exceptional candidates.Experience designing and operating data lakes or Lakehouse architectures on AWS S3 Glue Lake Formation Delta Lake Iceberg.Strong SQL skills with PostgreSQL SQL Server and at least one AWS cloud warehouse Snowflake or Redshift.Proficiency in Python Pandas PySpark Scala or Java a plus.Hands-on with Spark on AWS EMR and/or EKS for distributed processing.Strong background in Airflow MWAA for workflow orchestration.Expertise with AWS services: S3 Glue Lambda Athena Step Functions ECS CloudWatch.Proficiency with Terraform for IaC familiarity with Docker ECS and CI/CD pipelines.Experience building monitoring validation and alerting into pipelines with CloudWatch Grafana Prometheus or Datadog.Strong communication skills and ability to collaborate with data scientists analysts and product teams.A track record of delivering production-ready scalable AWS pipelines not just prototypes.Benefits:This role offers a unique opportunity to work on cutting-edge healthcare analytics projects with a talented team of engineers and data scientists.You will have the chance to develop your skills and expertise in data engineering and work on complex projects that drive business value.Our company values innovation collaboration and continuous learning and we offer opportunities for professional growth and development.Other Information:Thank you for considering this opportunity. We look forward to hearing from you.

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