Job description -

Skills and Experience Required
6 years of experience in Data Engineering / Snowflake Maintenance, Support

Solid technical skills in:
Snowflake (Warehouses, Stages, Tables, Streams, Tasks)
SnowSQL, advanced SQL scripting
Performance tuning and warehouse optimization
Data modeling (star/snowflake schema, normalized models)
Experience with ETL/ELT tools (dbt, Informatica etc.)
Solid debugging and analytical skills for production support settings
Familiarity with ITIL processes (Incident, Problem, Change Management)
Manufacturing domain experience
Exposure to SAP or legacy systems as data sources

Responsibilities
Provide L2/L3 support for Snowflake data warehouse issues, including performance, query failures, schema changes, and data load issues.
Handle incidents, service requests, problem tickets, and change requests.
Participate in on-call support, daily health checks, and proactive monitoring.
Investigate and resolve platform-level issues,



Snowflake warehouse performance bottlenecks, access/security issues, and ELT failures.
Support Snowflake components such as Tables, Views, Stages, Streams, Tasks, Pipes, Warehouses.
Perform Snowflake query tuning, cost optimization, and warehouse rightsizing.
Maintain documentation, SOPs, troubleshooting guides, and operational runbooks.
Work closely with AMS Tower Lead, data engineers, and functional teams to ensure stability of the entire D&A; ecosystem.
Troubleshoot and support ETL/ELT jobs built using dbt, Informatica or similar tools.
Monitor daily loads, ingestion pipelines, and workflows; ensure SLA adherence for data availability.
Resolve failures in data ingestion from SAP, SQL Server, flat files, APIs, and Azure platforms.
Perform RCA (Root Cause Analysis) and implement longterm fixes.

📌 Data Engineer Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad