Senior Technical Architect

1 week ago

rajkot, India beBeeData Full time

Data Engineer RoleWe are looking for an experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and scaling robust data pipelines that power nationwide analytics and support machine learning systems.This is a fully remote role open to candidates in Europe or India, with periodic team gatherings in Mountain View, California.Use Python (Pandas, PySpark) and SQL to create scalable ETL pipelines orchestrated with Airflow.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 SQL Server, PostgreSQL, and Snowflake integrations into the Lakehouse.Requirements5+ years of experience in data engineering, ETL pipeline development, or data platform roles.Experience designing and operating data lakes or Lakehouse architectures on AWS.Strong SQL skills with PostgreSQL, SQL Server, and at least one AWS cloud warehouse.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.

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