- Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision.

- Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform(GCP).

- Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance.

- Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify current opportunities to support evolving business needs.

- Partner with product teams across domains to enable data sharing and integration within a data mesh context.

- Drive continuous improvement, enhance data engineering practices, and reduce technical debt.





- Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

· Required cloud certification: GCP Certifications

Good to Have

- Experience with GCP services such as Cloud Run

- Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive).

- Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi).

- Experience with DBT in production data transformation workflows.

- Knowledge of modern data governance and cataloging practices.

- Experience with data visualization tools and collaboration with analytical stakeholders.

📌 Data Engineer (Bengaluru)
🏢 WorkLife Tech
📍 Bengaluru