Lead I - Data Engineering ::
UST (company site, opens in a new tab)TrivandrumOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
Reach people at UST
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at UST you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize large-scale ETL/ELT pipelines and cloud-native data architectures on AWS, Azure, or GCP.
- Build and manage Snowflake-based enterprise data warehouse solutions, ensuring data quality, governance, security, and performance.
- Create monitoring dashboards using Grafana and support both batch and real-time data processing workloads.
Minimum Requirements
- Hands-on experience with Snowflake development and administration.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Strong skills in SQL, data warehousing concepts, ETL/ELT development, and data pipeline engineering.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Experienced in modern data engineering practices including CI/CD, DevOps, and version control (Git).
- Capable of implementing data governance, security, performance optimization, and monitoring (Grafana).
- Able to collaborate cross-functionally with business analysts, data scientists, and application teams for delivering data solutions.