Description

You will build and manage data pipelines, transformation processes, and cloud-based data warehousing solutions.

This role is on-site.

Responsibilities

• Develop and maintain ETL processes using Talend.
• Perform data transformation activities using PySpark and Pandas.
• Write, optimize, and tune complex SQL queries, stored procedures, views, and triggers.
• Conduct relational model analysis and SQL performance tuning.
• Manage data infrastructure within AWS, Azure, or GCP environments.

Required Skills

• 7+ years of hands-on experience with Python and SQL.
• Expert-level SQL database programming and performance tuning.
• Proficiency with Talend ETL, PySpark, and Pandas.
• Experience with PostgreSQL, SQL Server, Oracle, Snowflake DB, and Redshift.
• Hands-on experience working in cloud environments (AWS, Azure, or GCP).
• Strong understanding of Data Warehousing concepts.
• Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience.

Preferred Skills

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

Key Skills

Education

Bachelor's or Master's degrees