Senior Business Intelligence Developer

2 weeks ago

kurnool, India beBeeDataEngineer Full time

We're building the future of healthcare analytics to design, build and scale robust data pipelines that power nationwide analytics and support our machine learning systems. These pipelines must be reliable, observable, and continuously improving in production.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 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 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 contributing to design/code reviews and engineering best practices.We're looking for someone with 5+ years of experience in data engineering, ETL pipeline development or data platform roles flexible for exceptional candidates.Key requirements include designing and operating data lakes or Lakehouse architectures on AWS S3, Glue, Lake Formation, Delta Lake, Iceberg.Strong skills are required in SQL with PostgreSQL and at least one AWS cloud warehouse Snowflake or Redshift.Proficiency in Python Pandas PySpark Scala or Java a plus.Experience with Spark on AWS EMR and/or EKS for distributed processing and 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.

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