Job Description
About the Unit:
TCS Data & Analytics is powering the AI revolution by transforming data into a strategic enterprise asset. Built on the philosophy of Smart Data for Smarter AI, it enables organisations to create intelligent, AI-ready ecosystems that accelerate innovation, unlock new value, and drive business transformation at scale. As AI reshapes industries, TCS is helping businesses turn data into their most powerful competitive advantage.
Title Description for Opportunity :
Role Name: Pyspark Data Engineer
Responsibilities:
• Design, develop, and optimize large-scale data processing solutions using PySpark, Apache Spark, and Python, ensuring high-performance batch and real-time data processing.
• Build and maintain scalable data ingestion, transformation, and storage pipelines using Spark SQL, DataFrames, Kafka, and cloud-based data platforms such as AWS, Azure, or GCP.
• Develop and support distributed computing frameworks and streaming applications, leveraging Spark Streaming, multithreading, and big data technologies to process high-volume datasets efficiently.
• Collaborate with cross-functional teams to design, implement, and deploy data engineering and machine learning solutions, utilizing Python, Scala, Java, TensorFlow, PyTorch, and Scikit-learn.
• Drive best practices for code quality, performance tuning, monitoring, troubleshooting, and optimization of Spark applications, while ensuring reliable and scalable data platforms for enterprise analytics and business needs.
Must Have Skills:
Walk-in Drive Locations - Bengaluru, Chennai, Hyderabad, Kolkata and Pune.
Eligibility:
Documents required for interview:
Unit level assets:
Solution-
TCS Data Modernization Service on AWS
Research insights
Case studies-
Leadership Video-
Big Bet hiring page link:
About the roleSource: Tata Consultancy Services careers — Read the original posting and apply
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