Azure Data Factory Consultant
Listed on 2026-10-16
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IT/Tech
Database Administrator, Data Engineering, Data Warehousing, Data Analyst
Job description
Support of IBM Data Stage ETL processes, SQL server and Oracle based applications.
Troubleshoot and resolve complex technical issues, ensuring the reliability and availability of applications.
Root cause analysis of both technical and functional issues.
Develop and modify existing ETL processes, Write SQL and PL/SQL queries.
Involve in Design and develop functional specifications and technical documents.
Develop, test, and deploy applications using Azure cloud services, with a strong emphasis on Databricks.
Working closely with various stakeholders such as business customers, vendors, and internal teams to provide support.
Qualifications and Skills
Must have strong experience in developing and supporting IBM Data Stage components
- Data Stage Designer, Data Stage Director, Data Stage Administrator and IBM information server.
Have good experience with Oracle PL/SQL (packages, procedures, functions)
Thorough understanding of DW principles (Fact Tables, Dimensional Tables, Dimensional Data Modeling
- Star Schema and Snowflake Schema, OLTP, OLAP and Data Warehousing concepts).
Nice to have experience in Azure Data Platform services (Azure Data Lake (ADLS), Data factory (ADF), Azure SQL DW, Databricks), SQL Server, Oracle, Data Warehouse etc.
Ability to recreate existing legacy application logic and functionality into Azure Data Factory/Data Lake, SQL Database and SQL Data warehouse environment.
Excellent Communication and Analytical skills.
5+ years of experience in the above tech stack.
Bachelors/Master's degree in Computer science
RequirementsNeed only local NJ,NY
Support of IBM Data Stage ETL processes, SQL server and Oracle based applications.
Develop and modify existing ETL processes, Write SQL and PL/SQL queries.
Nice to have experience in Azure Data Platform services (Azure Data Lake (ADLS), Data factory (ADF), Azure SQL DW, Databricks), SQL Server, Oracle, Data Warehouse etc.
Ability to recreate existing legacy application logic and functionality into Azure Data Factory/Data Lake, SQL Database and SQL Data warehouse environment.
Excellent Communication and Analytical skills.
5+ years of experience in the above tech stack.
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