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, Protected)
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