Data Engineer – GCP
3 days ago
Experience: 6+ Years
Work Model: Hybrid (Pune)
Availability: Immediate joiners required
Key Responsibilities:
- Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP).
- Work with GCP native services such as:
- BigQuery
- Cloud Storage (GCS)
- Dataflow / Beam
- Cloud Composer / Airflow
- Pub/Sub
- Develop and optimize ETL / ELT workflows using best engineering practices.
- Create data models ensuring data quality, lineage, and governance.
- Work with structured & unstructured data to support analytics and reporting requirements.
- Collaborate with cross-functional teams (Data Architects, Analysts, and DevOps).
- Implement data security, IAM roles, and access controls.
- Debug performance issues using monitoring tools (Stackdriver / Cloud Logging).
Required Skills:
- Hands-on experience with GCP Data Engineering stack (BigQuery, Dataflow, Pub/Sub, Composer).
- Strong SQL experience—writing optimized queries & performance tuning.
- Experience with Python or Java for data processing.
- Experience with CI/CD pipeline setup and Git-based workflows.
- Knowledge of Data Lake, Data Warehouse, and Streaming Architecture.
Preferred Skills:
- Experience working in Agile / Scrum environment.
- Exposure to Terraform / Infrastructure as Code (IaC) is a plus.
- Knowledge of Spark or Databricks (optional but good to have).
Job Types: Full-time, Permanent
Pay: ₹80, ₹90,000.00 per month
Benefits:
- Provident Fund
Work Location: In person
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