Top Skills:
Data Engineering Power BiData WarehousingTableauSqlAwsBusiness AnalyticsData IntegrationData ManagementData PipelineData ProcessingData VaultData WarehouseData WarehousingInformaticaJavaJavascriptPerformance TuningPipelinePower BiPysparkPythonReportingScriptingSnowflakeSqlTableauTroubleshooting
Job description
- Develop/enhance data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines and monitoring, in partnership with Data Analysts and Architects with guidance from lead Data Engineer.
- About the RoleIn this opportunity as Data Engineer, you will:
- Develop/enhance data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines and monitoring, in partnership with Data Analysts and Architects with guidance from lead Data Engineer
- Innovate with new approaches to meeting data management requirements
- Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytics teams.
- Analyze existing data pipelines and assist in enhancing and re-engineering the pipelines as per business requirements.
- Bachelors degree or equivalent required, Computer Science or related technical degree preferred
About You
- Youre a fit for the role if your background includes:
- Mandatory skills : Data Warehousing, data models, data processing[ Good to have], SQL, Power BI, Tableau, Snowflake [good to have] , Python
- 3.5 + years of relevant experience in Implementation of data warehouse and data management of data technologies for large scale organizations
- Experience in building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting
- Worked on Analyzing data pipelines
- Knowledgeable about Data Warehousing, including data models and data processing
- Broad understanding of the technologies used to build and operate data and analytic systems
- Excellent critical thinking, communication, presentation, documentation, troubleshooting and collaborative problem-solving skills
- Beginner to intermediate Knowledge of AWS, Snowflake, Python
- Hands-on experience with programming and scripting languages
- Knowledge of and hands on experience with Data Vault 2.0 is a plus.
- Also have experience in and comfort with some of the following skills/concepts:
- Good in writing SQL and performance tuning
- Data Integration tools lie DBT, Informatica, etc.
- Intermediate in programming language like Python/PySpark/Java/JavaScript
- AWS services and management, including Serverless, Container, Queueing and Monitoring services
- Consuming and building APIs.
Data Engineer
Thomson Reuters
foundit
Hyderabad / Secunderabad, Telangana, India
3-5 years 1L-25L
Full time
30 April 2026
Top Skills:
Data Engineering Power BiData WarehousingTableauSqlAwsBusiness AnalyticsData IntegrationData ManagementData PipelineData ProcessingData VaultData WarehouseData WarehousingInformaticaJavaJavascriptPerformance TuningPipelinePower BiPysparkPythonReportingScriptingSnowflakeSqlTableauTroubleshooting
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Job Description
Download ResumeJob description
- Develop/enhance data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines and monitoring, in partnership with Data Analysts and Architects with guidance from lead Data Engineer.
- About the RoleIn this opportunity as Data Engineer, you will:
- Develop/enhance data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines and monitoring, in partnership with Data Analysts and Architects with guidance from lead Data Engineer
- Innovate with new approaches to meeting data management requirements
- Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytics teams.
- Analyze existing data pipelines and assist in enhancing and re-engineering the pipelines as per business requirements.
- Bachelors degree or equivalent required, Computer Science or related technical degree preferred
About You
- Youre a fit for the role if your background includes:
- Mandatory skills : Data Warehousing, data models, data processing[ Good to have], SQL, Power BI, Tableau, Snowflake [good to have] , Python
- 3.5 + years of relevant experience in Implementation of data warehouse and data management of data technologies for large scale organizations
- Experience in building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting
- Worked on Analyzing data pipelines
- Knowledgeable about Data Warehousing, including data models and data processing
- Broad understanding of the technologies used to build and operate data and analytic systems
- Excellent critical thinking, communication, presentation, documentation, troubleshooting and collaborative problem-solving skills
- Beginner to intermediate Knowledge of AWS, Snowflake, Python
- Hands-on experience with programming and scripting languages
- Knowledge of and hands on experience with Data Vault 2.0 is a plus.
- Also have experience in and comfort with some of the following skills/concepts:
- Good in writing SQL and performance tuning
- Data Integration tools lie DBT, Informatica, etc.
- Intermediate in programming language like Python/PySpark/Java/JavaScript
- AWS services and management, including Serverless, Container, Queueing and Monitoring services
- Consuming and building APIs.