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.