Description

Key Skills: Data Analyst, Data Analysis, SQL, Google Cloud Platform, GCP, ETL, Pub/Sub, Data Flow, Bigquery, Cloud (AWS / Azure / GCP)

Roles and Responsibilities:

• Design, develop, and maintain ETL pipelines and data transformations on GCP.
• Build and optimize BigQuery datasets, write efficient SQL queries, and support analytics/reporting needs.
• Implement and manage batch/stream processing using Dataflow and related GCP services.
• Integrate event-driven ingestion using Pub/Sub and ensure end-to-end pipeline reliability.
• Monitor pipeline health using Cloud Logging/Monitoring, troubleshoot failures, and improve pipeline latency/performance.

Skills Required:

• 4 - 8 years of experience in data analytics and/or data engineering with SQL and GCP.
• Data analysis and data analyst experience with strong analytical problem-solving.
• ETL development and data transformation on GCP.
• SQL proficiency for querying, data validation, and performance tuning.
• Hands-on experience with GCP services for analytics pipelines (BigQuery, Dataflow, Pub/Sub) and operational troubleshooting.

Good to Have:

• BigQuery, Pub/Sub, and Dataflow experience.
• Exposure to orchestration and workflow tools such as Cloud Composer or Airflow.
• Experience with data quality, pipeline monitoring, and performance tuning (e.g., pipeline latency).

Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Key Skills

Education

Any Graduate