Data Integration Developer
Published date: 2026/11/08
- Location: Ahmedabad, Gujarat, India
• Experience in building and supporting enterprise data warehouses.
• Atleast 3+ years of experience in any DWH & Integration development.
• Strong SQL and Database skills in MS SQL Server / MySQL / Oracle /Snowflake/AWS Redshift. Nice to have - Athena, Spectrum, MongoDB
• Worked on databases using ETL tool like SSIS, Talend, Informatica for large scale data integration. Nice to have Scala, spark for data integration.
• Has good working knowledge of Python for data integration.
• Has good knowledge of DW architectural principles.
• Should possess good knowledge in Unix shell scripting.
• Good knowledge in Logical - Physical Data Modelling.
• Good communication and client interfacing skills
• Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the business.
• Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources.
• Optimize data integration platform to provide optimal performance under increasing data volumes.
• Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
• Atleast 3+ years of experience in any DWH & Integration development.
• Strong SQL and Database skills in MS SQL Server / MySQL / Oracle /Snowflake/AWS Redshift. Nice to have - Athena, Spectrum, MongoDB
• Worked on databases using ETL tool like SSIS, Talend, Informatica for large scale data integration. Nice to have Scala, spark for data integration.
• Has good working knowledge of Python for data integration.
• Has good knowledge of DW architectural principles.
• Should possess good knowledge in Unix shell scripting.
• Good knowledge in Logical - Physical Data Modelling.
• Good communication and client interfacing skills
• Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the business.
• Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources.
• Optimize data integration platform to provide optimal performance under increasing data volumes.
• Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
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