Data engineer

Position: Data engineer Job Description: JD For Data Engineer Experience: 5 Years Tools: Azure Data Factory, SQL, Microsoft Power BI Mandatory Skills Should be well-versed in the design and development of ETL and database developments for a large data warehouse Should be able to work collaboratively with other team members, as well as users for operational support Expertise in Azure data factory, SQL Stored procedure development, performance tuning. Should possess very good communication with strong business and data analysis skills Experience in using Agile methodologies Experience in developing and working on Power BI reports for enterprise level reports. Key Responsibilities Develop, fine tune, automate and maintain ETL pipelines using Azure Data factory and SQL server stored procedures Develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse Document ETL data mappings, data dictionaries, processes, programs, and solutions as per established standards for data governance Integrate ETL development with existing projects to maximize object reuse Create, execute, and document unit test plans for ETL and data integration processes and programs Work with the peers in data team to assess and troubleshoot potential data quality issues at key intake points such as validating control totals at intake. Troubleshoot data issues and defects to determine root cause Performance tuning of the ETL process and SQL queries, and recommend and implement ETL and query tuning techniques Develop and create transformation queries, views, and stored procedures for ETL processes, and process automations Location: IN-MH-Pune, India-Blue Ridge-Hinjewadi (eInfochips) Time Type: Full time Job Category: Engineering Services Position: Data engineer Job Description: JD For Data Engineer Experience: 5 Years Tools: Azure Data Factory, SQL, Microsoft Power BI Mandatory Skills Should be well-versed in the design and development of ETL and database developments for a large data warehouse Should be able to work collaboratively with other team members, as well as users for operational support Expertise in Azure data factory, SQL Stored procedure development, performance tuning. Should possess very good communication with strong business and data analysis skills Experience in using Agile methodologies Experience in developing and working on Power BI reports for enterprise level reports. Key Responsibilities Develop, fine tune, automate and maintain ETL pipelines using Azure Data factory and SQL server stored procedures Develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse Document ETL data mappings, data dictionaries, processes, programs, and solutions as per established standards for data governance Integrate ETL development with existing projects to maximize object reuse Create, execute, and document unit test plans for ETL and data integration processes and programs Work with the peers in data team to assess and troubleshoot potential data quality issues at key intake points such as validating control totals at intake. Troubleshoot data issues and defects to determine root cause Performance tuning of the ETL process and SQL queries, and recommend and implement ETL and query tuning techniques Develop and create transformation queries, views, and stored procedures for ETL processes, and process automations Location: IN-MH-Pune, India-Blue Ridge-Hinjewadi (eInfochips) Time Type: Full time Job Category: Engineering Services