Data Engineer (Contract) at Sutherland, Hyderabad
About the job
Sutherland is hiring a Data Engineer for its Business Intelligence and Analytics (BIA) team in Hyderabad. This is a contract role. It needs at least 4 years of experience as a Data Engineer and a bachelor’s degree in Computer Science, Information Technology or a related field.
You will design, build, test and support data pipelines and ETL/ELT flows that move data from multiple sources into reporting systems and data warehouses. The source names Informatica, Azure Data Factory and SSIS as example tools. The working hours are 2:00 PM to 11:00 PM IST.
Job Details
- Company: Sutherland
- Role: Data Engineer (BIA team)
- Job ID: REF48493L
- Experience: 4+ years
- Salary: Not disclosed
- Contract type: Contract
- Location: Hyderabad, India
- Working hours: 2:00 PM to 11:00 PM IST
- Education: Bachelor’s degree in Computer Science, Information Technology or a related field
What You’ll Do
- Data pipelines and ETL (about 40%): Design and build data stores, ETL data flows and pipelines that prepare operational data for analytics and BI systems.
- Support and operations (about 10%): Manage production deployments, automation, monitoring and job control. Test programs with business users in development and quality environments. Investigate issues on vendor support sites.
- Data modelling (about 10%): Review business requirements and apply standard data modelling and design techniques.
- Data architecture (about 10%): Plan and drive data engineering solutions that balance functional and non-functional needs. Follow data standards, security and compliance.
- SDLC and project work (about 5%): Support moves between development, testing and production, including change control and problem management.
- Data governance and quality (about 5%): Find and investigate data quality problems, assess impact and fix them.
- Documentation (about 5%): Document pipelines and mappings and follow BIA team best practices.
- User enablement (about 5%): Contribute to training and data literacy for the team and end users.
- Continuous improvement (about 5%): Improve and optimise existing data engineering assets and processes.
- Collaboration (about 5%): Work with IT teams, business users, data scientists, architects and DBAs on designs that perform well.
Support work includes resolving user-reported issues, writing scripts to fix data problems, making program changes, testing fixes and applying them to production. Work is done with guidance from a supervisor. You will join team and project meetings and keep up with changes in technology and development tools.
What You Need
- At least 4 years of experience as a Data Engineer.
- Experience building and maintaining ETL/ELT data pipelines, with thorough knowledge of star and snowflake schemas.
- Ability to write complex SQL queries and optimise them.
- Full life cycle experience in BI or data warehousing: requirements gathering, data sourcing, testing, data reconciliation and deployment.
- Understanding of data architecture and data warehousing concepts, including multi-dimensional models and ETL logic for star schemas.
- Knowledge of ETL and data engineering standards and best practices.
- Ability to design, build and test data products from multiple systems and storage technologies.
- Good understanding of data modelling. You can create, maintain and update data models, and reverse-engineer models from a live system.
- Skill in data analysis, defect identification and resolution.
- Strong verbal and written communication.
- Ability to work with little supervision and handle changing priorities.
- Ability to analyse requirements and troubleshoot problems.
Preferred Skills
- SQL programming, such as stored procedure development.
Tools Mentioned
- Informatica
- Azure Data Factory
- SSIS
How to Apply
- Check that you meet the 4+ years experience and degree requirements.
- Use Apply on Original Source ↗ at the top of this job page and follow the application instructions.
- Quote Job ID REF48493L if asked.
Before You Apply
- Confirm the work location and work mode with Sutherland. The source lists conflicting details.
- Confirm you can work from 2:00 PM to 11:00 PM IST.
- Prepare examples of ETL pipelines, SQL tuning and data warehouse projects.
Skills
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Job Details
About Sutherland
Sutherland is a global services company. Its careers site lists locations across North America, Latin America, Asia Pacific, Europe and the Middle East and Africa.
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JobsInHyd is a job discovery platform and is not the employer or recruiter for this position. Job details are sourced from the original application source and may change. Please verify the latest information before applying.
JobsInHyd does not guarantee hiring outcomes.Sutherland is hiring a Data Engineer for its Business Intelligence and Analytics (BIA) team in Hyderabad. This is a contract role. It needs at least 4 years of experience as a Data Engineer and a bachelor’s degree in Computer Science, Information Technology or a related field.
You will design, build, test and support data pipelines and ETL/ELT flows that move data from multiple sources into reporting systems and data warehouses. The source names Informatica, Azure Data Factory and SSIS as example tools. The working hours are 2:00 PM to 11:00 PM IST.
Job Details
- Company: Sutherland
- Role: Data Engineer (BIA team)
- Job ID: REF48493L
- Experience: 4+ years
- Salary: Not disclosed
- Contract type: Contract
- Location: Hyderabad, India
- Working hours: 2:00 PM to 11:00 PM IST
- Education: Bachelor’s degree in Computer Science, Information Technology or a related field
What You’ll Do
- Data pipelines and ETL (about 40%): Design and build data stores, ETL data flows and pipelines that prepare operational data for analytics and BI systems.
- Support and operations (about 10%): Manage production deployments, automation, monitoring and job control. Test programs with business users in development and quality environments. Investigate issues on vendor support sites.
- Data modelling (about 10%): Review business requirements and apply standard data modelling and design techniques.
- Data architecture (about 10%): Plan and drive data engineering solutions that balance functional and non-functional needs. Follow data standards, security and compliance.
- SDLC and project work (about 5%): Support moves between development, testing and production, including change control and problem management.
- Data governance and quality (about 5%): Find and investigate data quality problems, assess impact and fix them.
- Documentation (about 5%): Document pipelines and mappings and follow BIA team best practices.
- User enablement (about 5%): Contribute to training and data literacy for the team and end users.
- Continuous improvement (about 5%): Improve and optimise existing data engineering assets and processes.
- Collaboration (about 5%): Work with IT teams, business users, data scientists, architects and DBAs on designs that perform well.
Support work includes resolving user-reported issues, writing scripts to fix data problems, making program changes, testing fixes and applying them to production. Work is done with guidance from a supervisor. You will join team and project meetings and keep up with changes in technology and development tools.
What You Need
- At least 4 years of experience as a Data Engineer.
- Experience building and maintaining ETL/ELT data pipelines, with thorough knowledge of star and snowflake schemas.
- Ability to write complex SQL queries and optimise them.
- Full life cycle experience in BI or data warehousing: requirements gathering, data sourcing, testing, data reconciliation and deployment.
- Understanding of data architecture and data warehousing concepts, including multi-dimensional models and ETL logic for star schemas.
- Knowledge of ETL and data engineering standards and best practices.
- Ability to design, build and test data products from multiple systems and storage technologies.
- Good understanding of data modelling. You can create, maintain and update data models, and reverse-engineer models from a live system.
- Skill in data analysis, defect identification and resolution.
- Strong verbal and written communication.
- Ability to work with little supervision and handle changing priorities.
- Ability to analyse requirements and troubleshoot problems.
Preferred Skills
- SQL programming, such as stored procedure development.
Tools Mentioned
- Informatica
- Azure Data Factory
- SSIS
How to Apply
- Check that you meet the 4+ years experience and degree requirements.
- Use Apply on Original Source ↗ at the top of this job page and follow the application instructions.
- Quote Job ID REF48493L if asked.
Before You Apply
- Confirm the work location and work mode with Sutherland. The source lists conflicting details.
- Confirm you can work from 2:00 PM to 11:00 PM IST.
- Prepare examples of ETL pipelines, SQL tuning and data warehouse projects.