Walk-in || Pyspark Developer

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. Role Name: Pyspark Developer Responsibilities: • Data Processing: Design, develop, and maintain data processing solutions using PySpark, Apache Spark, and Python. • Data Pipeline Development: Develop and optimize data pipelines using PySpark, Apache Spark, and cloud-based data platforms. • Data Integration: Integrate data from various sources, including relational databases, NoSQL databases, and cloud storage. • Data Transformation: Develop and implement data transformation logic using PySpark, Apache Spark, and Python. • Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality. Must Have Skills: • PySpark: In-depth knowledge of PySpark, Apache Spark, and Python. • Data Processing: Strong understanding of data processing concepts, including data ingestion, data transformation, and data storage. • Cloud Experience: Experience with cloud-based data platforms, including AWS, Azure, or Google Cloud. • Expertise in DataFrames & Spark SQL, Spark Streaming with Apache Kafka real-time data ingestion pipelines • Very good conceptual understanding of Multithreading, distributed computing concepts of Pyspark • Programming: Proficiency in programming languages, including Python, Java, or Scala. • Communication: Excellent communication and collaboration skills. Good to have Skills • Apache Spark Certifications: Relevant certifications, such as Apache Spark Certification or Cloudera Certified Spark Developer. • Big Data: Experience with big data technologies, including Hadoop, HBase, or Cassandra. • Machine Learning: Experience with machine learning frameworks, including TensorFlow, PyTorch, or Scikit-learn. • Data Science: Experience with data science tools, including Jupyter Notebook, Pandas, or NumPy Location: Bangalore Experience Range: 4-10 years Walkin Drive Date: 19th September 2026 (9am - 3pm) Venue: Tata Consultancy Services (TCS) Brigade Bhuwalka Icon, situated at No. 1, ITPL Main Road, Pattandur Agrahara, Whitefield, Bengaluru, Karnataka, 560067 Qualifications: Any full-time graduation Eligibility: • 15 years of full-time education. • Good communication and interpersonal skills • Strong verbal and written communication skills • Willingness to work in a collaborative and dynamic environment • Relevant experience as per the job requirements (if applicable) Unit level assets: Solution- can be used as per opening 1. TCS Data Modernization Service on AWS 2. TCS Agentic AI Data Accelerator on Google Cloud Research insights/Blogs - First 2 articles will go with any AI opening 1. Modernise ETL systems for a successful AI-first operating model 2. Accelerate data platform modernisation with an AI-first approach 3. Friction Point Analysis: Elevating Business Insights and CX Case studies- can be used as per opening 1. TCS accelerates Alstoms digital transformation with a future-ready Data Integration Backbone 2. easyJet strengthens services, improves CX with data-powered solution 3. VMO2 undergoes data transformation with a cloud-first strategy 4. Equifax UK partners with TCS to accelerate data modernisation Leadership Video- should go with any Data analytics opening, latest video 1. The Future of AI is Built on Data. And It Starts Here- Satish Byravan, Global Head of Data & Analytics Big Bet hiring page link: https://www.tcs.com/careers/india/tcs-data-and-analytics-careers