Data Engineering & Development

- Design, develop, and maintain data pipelines on GCP.
- Build scalable ETL/ELT solutions for ingesting, transforming, and loading data from multiple source systems.
- Develop batch and real-time data processing solutions.
- Optimize data workflows for performance, reliability, and scalability.

GCP Platform Development
- Work with GCP services including:
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Storage
- Cloud Composer (Airflow)
- Cloud Functions

- Implement cloud-native data architectures and best practices.

Data Warehousing & Analytics
- Design and maintain data warehouse solutions in BigQuery.
- Develop data models to support reporting and analytics requirements.
- Ensure data integrity, quality, and consistency across platforms.

Production Support & Monitoring
- Support production environments and troubleshoot data pipeline issues.
- Monitor scheduled jobs and resolve failures in a timely manner.
- Perform root cause analysis and implement permanent fixes.
- Ensure adherence to SLA and operational requirements.

Collaboration
- Work closely with Data Architects, Business Analysts, Product Owners, and Reporting teams.




- Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
- Contribute to technical design discussions and code reviews.

Required Technical Skills GCP Technologies
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Storage
- Cloud Composer (Airflow)
- Cloud Functions

Programming
- Python
- SQL (Advanced)

Data Engineering
- ETL/ELT Development
- Data Modeling
- Data Warehousing Concepts
- Data Quality and Validation
- Performance Tuning

Databases
- SQL Server
- Oracle
- PostgreSQL
- MySQL

Version Control & CI/CD
- Git
- Jenkins / GitHub Actions
- DevOps concepts

Preferred Skills
- PySpark / Apache Spark
- Kafka
- Terraform
- Snowflake
- Looker
- Tableau
- Power BI
- Data Governance concepts

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📌 GCP Data Engineer (Pune)
🏢 Zensar
📍 Pune