Job Description & How to Apply Below
We are seeking a highly skilled Data Stage Developer to design, develop, and maintain robust ETL processes for our growing data warehouse. In this role, you will be the bridge between raw data and actionable business insights, leveraging your expertise in IBM Info Sphere Data Stage, complex SQL, and UNIX shell scripting to build high-performance data pipelines.
Locations:
Pune/Bangalore
Key Responsibilities:
- ETL Design & Development:
Create, test, and deploy complex Parallel and Sequencer jobs using Data Stage (v11.x preferred).
- Database Optimization:
Write and optimize advanced SQL/PL-SQL queries to extract and load data efficiently across various RDBMS platforms like Oracle, DB2, or SQL Server.
- Automation:
Develop and maintain UNIX Shell Scripts to automate data processing, file manipulation, and job scheduling.
- Performance Tuning:
Identify bottlenecks in the ETL pipeline and implement tuning strategies to improve data throughput.
- Troubleshooting:
Provide root cause analysis (RCA) for job failures in production and ensure data integrity through robust error-handling.
- Collaboration:
Partner with data architects and business analysts to translate functional requirements into technical specifications.
Requirements:
- Experience:
Minimum 4 years of hands-on experience in ETL development using IBM Data Stage.
- SQL Mastery:
Strong expertise in writing complex queries, stored procedures, and triggers.
- UNIX
Skills:
Proficiency in UNIX/Linux environments and shell scripting (Bash/Korn).
- Data Warehousing:
Deep understanding of DW concepts (Star/Snowflake schema, SCD Type 1/2).
- Tools:
Experience with scheduling tools like Control-M or Autosys is a major plus.
- Education:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
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