Data Engineer
Sutherland (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 8–14 LPA
Posted 4d ago
Reach people at Sutherland
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 Sutherland 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 maintain complex data engineering solutions including data pipelines, ETL/ELT processes, and data warehouses to support Business Intelligence and Analytics.
- Manage production deployments, monitor and support data applications, including issue resolution and testing with business users.
- Collaborate with IT teams, business users, and data scientists for data architecture, governance, optimization, and documentation of data engineering projects.
Minimum Requirements
- At least 4 years of experience as a Data Engineer with full lifecycle development including requirements gathering, data sourcing, testing, and deployment in BI/Data Warehousing environments.
- Proficient in development and maintenance of ETL/ELT pipelines using tools like Informatica, Azure Data Factory, or SSIS, and skilled in complex SQL development and optimization.
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Location requirement: Hybrid work in Pune with in-office presence on Monday, Wednesday, and Friday; working hours 2:00 PM to 11:00 PM IST.
Ideal Candidate Profile
- Experienced with designing and implementing star/snowflake schema data models and understanding data warehousing concepts.
- Skilled in troubleshooting, defect identification/resolution, and ability to manage production support of data engineering solutions.
- Able to work independently with minimal supervision and adapt effectively to changing priorities.