Description

Support GCP migration through data engineering and big data management.

Responsibilities

  • Implement data solutions using standard software development life cycles (SDLC).
  • Manage big data analytics and cloud computing workflows.
  • Design physical database structures to support data warehousing and ETL processes.
  • Execute release management tasks within an agile development environment.

Required Skills

  • 5+ years of experience in Data Engineering, BI Engineering, Data Warehousing/ETL, or Software Engineering.
  • 4 years of experience implementing solutions through the full development life cycle (SDLC).
  • Proficiency with Apache Spark and PySpark.
  • Strong programming skills in Python and Scala.
  • Experience with Airflow for workflow orchestration.
  • Practical exposure to GCP (DataProc, GCS, BigQuery).
  • Background in Big Data management and analytics.
  • Bachelor’s degree in Engineering, Computer Science, CIS, or equivalent work experience.

Education

Bachelor’s degree in engineering /computer science