About The Company

Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and business solutions. With a rich history spanning over five decades, TCS has established itself as a trusted partner for organizations seeking creative technology solutions to drive their digital transformation. Headquartered in Mumbai, India, TCS operates in over 46 countries, serving clients across diverse industries including banking and financial services, retail, manufacturing, healthcare, and more. The company prides itself on its commitment to excellence, sustainability, and fostering a culture of continuous learning and innovation. TCS's core values emphasize integrity, responsibility, and a customer-centric approach, making it a preferred employer for technology professionals worldwide.

About The Role

We are looking for a talented and experienced PySpark Developer to join our dynamic data engineering team at TCS. The ideal candidate will play a crucial role in designing, developing, and maintaining large-scale data processing pipelines,



enabling our clients to harness the full potential of their data assets. This role requires a deep understanding of Python, PySpark, SQL, and data warehousing concepts, along with the ability to work with cloud platforms and big data ecosystems. As a PySpark Developer, you will collaborate with cross-functional teams to deliver scalable, efficient, and reliable data solutions that support business intelligence, analytics, and decision-making processes. Your expertise will directly impact the effectiveness of data-driven strategies, ensuring high performance and adherence to best practices in data engineering.

Qualifications

The ideal candidate should possess a strong educational background in Computer Science, Information Technology, or related fields, with relevant professional experience. Key qualifications include proven hands-on experience in Python and PySpark development, expertise in Spark SQL, DataFrames, and RD

📌 Python Developer (India)
🏢 FetchJobs.co
📍 India