Senior Data Engineer

Job Summary

Working remotely in a full-time capacity, the Senior Data Engineer will design and optimize large-scale distributed data pipelines, develop ETL/ELT workflows on Google Cloud Platform, and support data migrations while collaborating with cross-functional teams.

Key responsibilities:

• Design, build, and optimize large-scale distributed data pipelines using Apache Beam, Google Cloud Dataflow, Apache Spark, or Apache Flink
• Develop ETL/ELT workflows on GCP integrating multiple structured and unstructured data sources
• Implement observability, monitoring, logging, and error-handling within pipelines

Required qualifications:

• 4+ years of experience as a Data Engineer in modern cloud environments
• 2+ years of hands-on experience with Google Cloud Platform services like BigQuery and Dataflow
• Strong experience with distributed data processing frameworks such as Apache Beam, Apache Spark, or Apache Flink
• Proficiency in Python for pipeline development and SQL (Oracle + BigQuery dialects preferred)
• Experience with data warehousing solutions like BigQuery, Snowflake, or Databricks is a plus