6 years

9 - 10 Lacs

Posted:4 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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: ₹80,000.00 - ₹90,000.00 per month

Benefits:

  • Provident Fund

Work Location: In person

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