Description

Key Skills: GCP, Data Bricks, Data Engineer, Pyspark, Python, Apache

Roles and Responsibilities:

• Design, develop and maintain scalable data pipelines and data processing solutions on Google Cloud Platform and Databricks.
• Build robust data ingestion, transformation and integration workflows for structured and unstructured data.
• Develop efficient batch and distributed data processing solutions using Python and Spark-based technologies.
• Implement data quality, reliability and operational controls across production data workflows.
• Collaborate with engineering, analytics and business teams to translate data requirements into maintainable technical solutions.

Skills Required:

• 6 to 14 years of relevant data engineering experience; candidates with a notice period of 30 days or less are preferred.
• Professional experience in data engineering and development of production-grade data pipelines.
• Hands-on experience with Google Cloud Platform data engineering services and cloud-based data architectures.
• Strong Databricks experience, including development and management of scalable data processing workloads.
• Experience with data integration, distributed processing, APIs or platform interfaces, testing and production deployment practices.

Good to Have:

• Experience with PySpark, Apache Spark and Python-based data engineering development.

Education: B.E., B.Tech or B.Tech-M.Tech dual degree in Computer Science, Information Technology, Engineering or a related discipline

Key Skills

Education

Any Graduate