Description

You will own end-to-end data operations, delivery cycles, and system efficiency improvements.

This role is on-site.

Responsibilities

• Develop and maintain ETL processes for reliable data pipelines.
• Execute performance optimizations to enhance system efficiency.
• Analyze the project landscape to contribute to full delivery cycles.
• Collaborate with the team to meet technical requirements and deliver code enhancements.

Required Skills

• 4+ years of experience in data engineering roles.
• Strong proficiency in SQL for complex queries and data manipulation.
• Hands-on experience with the Databricks platform.
• Strong knowledge of Python for data processing and scripting.
• Experience with PySpark for large-scale data processing.
• Demonstrated knowledge of Airflow DAGs for workflow orchestration.
• Ability to apply critical thinking and analytical problem-solving skills.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate