Data Engineer with Python PySpark

This role focuses on designing, building, and maintaining robust data pipelines and infrastructure to support data-driven decision-making. The Data Engineer will work closely with data scientists and business stakeholders to ensure data is accessible, reliable, and optimized for various analytical needs.

Key Responsibilities:

Develop and maintain scalable data pipelines using Python and PySpark.
Design and implement data models and schemas.
Ensure data quality and integrity through monitoring and validation.
Optimize data storage and retrieval processes.
Collaborate with data scientists to support their analytical requirements.
Troubleshoot and resolve data-related issues.

Requirements/Qualifications:

8 to 13 years of experience in data engineering.
Strong proficiency in Python programming.
Experience with PySpark and distributed computing frameworks.
Solid understanding of data warehousing concepts and techniques.
Experience with relational databases (e.g., SQL Server, MySQL) and NoSQL databases.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.

About the Company:

Teksills India Private Limited is a technology-focused organization dedicated to providing innovative solutions and services. The company specializes in delivering expertise across various technology domains to help businesses achieve their strategic goals.