Description

You will build, optimize, and maintain ETL pipelines to support data warehousing and business intelligence initiatives.

This role is on-site.

Responsibilities

• Design and develop scalable data pipelines using Informatica, Talend, or SSIS.
• Write complex SQL queries and manage relational databases.
• Model data structures and ensure integrity across data platforms.
• Optimize ETL jobs for performance, tuning scripts in Python or Shell.
• Troubleshoot data bottlenecks and collaborate with stakeholders to resolve issues.

Required Skills

• 5+ years of hands-on experience with ETL tools (Informatica, Talend, or SSIS).
• Proficiency in SQL and relational database management.
• Strong understanding of data warehousing concepts and data modeling.
• Experience with scripting languages: Python or Shell Scripting.
• Knowledge of data integration, debugging, and performance tuning techniques.
• Ability to work with structured and unstructured data sources.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with big data technologies like Hadoop or Spark.

Key Skills

Education

Any Graduate