Description

You will support GCP migration efforts 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.

Key Skills

Education

Bachelor’s degree in engineering /computer science