Description

You will design and manage data pipelines and ETL processes to support data warehousing needs.

This role is on-site.

Responsibilities

• Build and maintain ETL processes using Talend.
• Perform data transformation activities using PySpark and Pandas libraries.
• Develop and optimize SQL database programming, including stored procedures, views, functions, and triggers.
• Execute SQL performance tuning and relational model analysis.
• Manage data workflows across cloud environments including AWS, Azure, or GCP.

Required Skills

• 7 to 10 years of hands-on experience with Python, SQL, and Talend ETL.
• Expert-level SQL skills for complex queries and performance tuning.
• Proficiency with PySpark and Pandas libraries.
• Experience with PostgreSQL, SQL Server, Oracle, Snowflake DB, or Redshift.
• Hands-on experience working in AWS, Azure, or GCP cloud environments.
• Strong understanding of Data Warehousing concepts.
• Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experience.
• Fluent verbal and written English communication skills.

Preferred Skills

• Experience with BI tools such as Tableau or Power BI.

Key Skills

Education

Any Graduate