Description

You will own data lifecycles, implement data warehousing solutions, and build ETL pipelines on GCP.

This role is on-site.

Responsibilities

• Manage the full data management lifecycle and implement data warehouse concepts.
• Develop data processing logic using Spark and Scala.
• Execute ETL/ELT processes to ensure data integrity.
• Write and maintain shell scripts for automation.
• Communicate technical findings and influence stakeholders through clear presentations.

Required Skills

• 4+ years of professional experience.
• Proficiency with Spark and Scala.
• Experience with GCP and BigQuery.
• Hands-on experience building and managing ETL pipelines.
• Strong knowledge of DBMS and Data Warehouse concepts.
• Experience with Shell scripting.
• Bachelor's degree or equivalent work experience.
• Strong analytical, research, and problem-solving capabilities.

Preferred Skills

• GCP Data Engineer certification.
• Relevant ETL/ELT developer certification.

Key Skills

Education

Bachelor's degree