Description

Develop and optimize data solutions using SQL and Python, including ETL integration and workflow orchestration.

This role is hybrid.

Responsibilities

• Write efficient SQL queries for data extraction, transformation, and analysis.
• Develop Python scripts for data manipulation, processing, and automation.
• Work with ETL tools (Informatica, Talend) for data integration and workflow orchestration.
• Troubleshoot and optimize data workflows and scripts for performance and scalability.
• Document ETL processes, data models, and technical specifications.

Required Skills

• 4+ years of professional experience in SQL development with RDBMS (Oracle, MS SQL Server, MySQL, PostgreSQL).
• Strong experience in Python scripting for data processing and automation.
• Experience working with ETL tools such as Informatica or Talend.
• Good understanding of data warehousing concepts and relational database design.
• Ability to write efficient, clean, and maintainable code.
• Knowledge of performance optimization techniques for large-scale data processing.
• Familiarity with Power BI, Tableau, or Qlik.

Preferred Skills

• Experience with cloud data platforms such as AWS Redshift, Azure Synapse, or Google BigQuery.
• Familiarity with NoSQL databases (MongoDB, Cassandra).
• Knowledge of CI/CD pipelines, Git, and version control best practices.

Key Skills

Education

Any Gradute