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Location- Noida/Chennai/Hyderabad/Pune
• Working experience with SSIS, SQL, T-SQL
• Practical experience with Microsoft SQL Server platform, and Transact SQL stored procedures and triggers
• Experience with SSIS development and SSRS reports (preferred)
• Experience building and troubleshooting complex pipelines in Snowflake
• Ability to create Functions/Views/Stored Procs.
• Experience with complex queries including use of CTEs, table variables, merge and dynamic SQL.
• Experience with complex business logic including applying logic to transforms that falls outside of basic schema formatting conversion.
• Experience executing SSIS packages via SQL Server Job Agent
• Experience using all components available in SSIS including sorts, derived values, data conversion, multicast, merge, union, variables, parameters, package DB connections, project DB connections, flat file connections, excel connections and SMTP connections, expressions and file system tasks.
• Data processing on Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW)
• Working knowledge of Azure Synapse
• Working knowledge of Snowflake
• Airflow experience a bonus but not required
Role: Database Developer / Engineer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: DBA / Data warehousing
Education
UG: Any Graduate
Innova Solutions is a trusted global technology partner specializing in transformative digital solutions. Innova's robust technology and talent offerings span across an array of industries and include generative AI, data & analytics, cloud computing, digital product engineering, and cybersecurity. Through offices and global delivery centers across North America, Europe, and APAC, our Innovators deliver strategic technology and business transformation solutions to clients enabling them to operate as leaders within their fields.
Job ID: 112860667
Skills:
Pyspark, Sql, Azure Databricks, Cosmos DB, Azure Data Factory, Python, Data Warehousing Concepts, Azure DevOps, CI CD pipeline design and automation, NoSQL data modeling, Data Lake Storage, Data pipeline performance tuning