Role & responsibilities
Develop and maintain data pipelines using AWS Glue, Lambda, EMR, and Snowflake.
Implement real-time ingestion using Snowpipe and Streams for CDC (Change Data Capture).
Write effective PySpark or Scala Spark jobs for large-scale data processing.
Automate workflows and orchestrate jobs using AWS Step Functions, Airflow, or similar tools.
Optimize Snowflake queries and warehouse performance.
Collaborate with Data Scientists, Analysts, and DevOps teams to deliver reliable data solutions.
Monitor and troubleshoot data pipeline failures and latency issues.

Preferred candidate profile
Robust experience with Snowflake architecture, SQL, and performance tuning.
Hands-on expertise in AWS Glue, Lambda, S3, EMR, and CloudWatch.
Proficiency in Apache Spark (PySpark or Scala).
Familiarity with Snowpipe, Streams, and Tasks in Snowflake.
Knowledge of CI/CD tools and infrastructure-as-code (Terraform, CloudFormation).

Experience with version control (Git) and agile development practices

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