Role & responsibilities

- 10+ years of experience in Data Engineering / Data Platform roles
- Solid hands-on expertise in:
- Databricks (Delta Lake, workflows, DAG)
- Apache Airflow / Astronomer
- Python, SQL, DBT ,AWS

- Proven experience implementing CI/CD frameworks (Harness, GitHub Actions, Azure DevOps)
- Deep understanding of:

- Data governance (catalogs, lineage, contracts, metadata)
- Data quality and masking techniques
- Enterprise data platforms and marketplace ecosystems

- Experience with API-based integrations (e.g., entitlement systems like AccessCentral)
- Monitoring/observability tools (e.g., Datadog)

Platform engineers must demonstrate genuine platform and infrastructure engineering capability across ten domains:

Infrastructure as Code

Cloud Platform Management (AWS and Azure)

CI/CD (including Harness)

Databricks platform provisioning (not just pipeline development)

Performance Tuning

Software Development (Python)

Container Platform (Kubernetes)

Networking

Security

Disaster Recovery (build, maintain and support DR features and tooling)

Preferred candidate profile

- Databricks (Delta Lake, workflows, DAG)
- Apache Airflow / Astronomer
- Python, SQL, DBT ,AWS

📌 Platform Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad