Description

You will design, develop, and automate complex data applications within the GCP ecosystem.

This role is on-site.

Responsibilities

• Build and support ETL/ELT processes using DataProc and Dataflow.
• Design data pipelines with integrated error handling and performance tuning.
• Orchestrate data workflows using Google Cloud Composer or Airflow.
• Write complex SQL queries to extract and analyze data from multiple tables.
• Manage data ingestion, processing, transformation, and parallelization tasks.

Required Skills

• 6+ years of hands-on experience with GCP.
• Proficiency in Apache Beam for streaming data.
• Experience with Google Dataflow and Google DataProc.
• Strong command of SQL for data analysis and complex querying.
• Expertise in Python, Java, or PySpark for ETL development.
• Working knowledge of Google BigQuery.
• Solid understanding of Big Data technologies and ETL fundamentals.

Preferred Skills

• Ability to automate and support complex data applications.

Key Skills

Education

Any Graduate