Job Description
Take
end-to-end responsibility for building, optimizing, and supporting existing and current 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 contemporary data governance and cataloging practices.
Experience
with data visualization tools and collaboration with analytical stakeholders.

📌 Data Engineer Bengaluru
🏢 Nameless
📍 Bengaluru