Role description

- You are operating Global Data Platform components (VM Servers, Kubernetes, Kafka) and applications (Apache stack, Collibra, Dataiku and similar)
- Implement automation of infrastructure, security components, and Continuous Integration & Continuous Delivery for optimal execution of data pipelines (ELT/ETL).
- Develop solutions to build resiliency in data pipelines with platform health checks, monitoring, and alerting mechanisms
- Apply DevSecOps & Agile approaches to deliver the holistic and integrated solution in iterative increments.
- Liaison and collaborate with enterprise security, digital engineering, and cloud operations.
- Review system issues, incidents, and alerts to identify root causes.
- Be current on the latest industry developments and technology trends.

Experience

- 5+ years designing large-scale distributed systems




- Streaming/file-based ingestion (Kafka, Control M, AWA)
- DevOps, Jenkins, Octopus; optional Ansible, Chef, XL tools
- On‑prem Big Data architecture; cloud migration helpful
- Integrating Data Science Workbenches (e.g., Dataiku)
- Agile methods (Scrum, SAFe)
- Supporting enterprise reporting and data science

BU

- Knowledge of data lakes, delta lakes, meshes, platforms
- Distributed technologies: S3/Parquet, Kafka, Kubernetes, Spark
- Python, Java/Scala/R, Linux scripting, Jinja, puppet, firewall rules
- VM setup, K8S scaling, Docker/Harbor, CI/CD
- English essential; German beneficial
- Knowledge of financial sector
- Higher education (FH, WI)

📌 Platform Engineer- UBS (Pune)
🏢 TCS_India
📍 Pune