DataStage ETL Engineer — Azure & DW Expert

BinTech Group; Jersey City (NJ); On-site; USD 90,000 - 120,000; Full time

Job summary

BinTech Group in Jersey City, NJ is seeking a seasoned ETL/DataStage Engineer to support and enhance IBM DataStage-based ETL processes and related Oracle/SQL Server applications. You will troubleshoot complex issues, perform root-cause analyses, and develop automated data pipelines.

The role involves designing specifications, writing SQL/PLSQL, and deploying Azure cloud solutions with Databricks emphasis, collaborating with business customers, vendors, and internal teams.

Qualifications

• 5+ years of experience with the listed tech stack.
• Strong SQL and Power BI skills.
• Experience in design and development of data warehouses and ETL processes.

Responsibilities

• Support of IBM DataStage 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.

Skills

Analytical skills

Communication skills

Education

Bachelor's/Master's in Computer Science

Tools

IBM DataStage

DataStage Designer

DataStage Director

DataStage Administrator

IBM Information Server

Oracle PL/SQL

Azure Data Factory

Azure Data Lake

Azure SQL DW

Databricks

SQL Server

Data Warehouse

Power BI

Job description

BinTech Group in Jersey City, NJ is seeking a seasoned ETL/DataStage Engineer to support and enhance IBM DataStage-based ETL processes and related Oracle/SQL Server applications. You will troubleshoot complex issues, perform root-cause analyses, and develop automated data pipelines.

The role involves designing specifications, writing SQL/PLSQL, and deploying Azure cloud solutions with Databricks emphasis, collaborating with business customers, vendors, and internal teams.