Greetings from TCS We’re Hiring: Big Data & Hadoop Developer Role: Developer Primary Skill: BigData and Hadoop Ecosystems

Experience:
5–12 Years Locations: Mumbai | Chennai | Hyderabad | Bangalore | Indore | Ahmedabad

Job Description
We are looking for experienced Big Data & Hadoop Developers with strong hands-on expertise in designing, developing, optimizing, and supporting scalable data-processing solutions using Big Data technologies and the Hadoop ecosystem. The ideal candidate should have strong development experience with Hadoop/HDFS, Apache Spark, Hive, SQL, Unix/Linux scripting, and large-scale distributed data-processing applications. Must-Have Skills
• Strong understanding of Big Data and distributed computing concepts
• Solid hands-on experience with Hadoop and HDFS
• Good understanding of YARN and MapReduce
• Strong hands-on development experience with Apache Spark
• Experience with Spark SQL, DataFrames, and large-scale batch processing
• Strong hands-on experience with Apache Hive and HiveQL/SQL
• Experience developing and optimizing Hive queries and UDFs
• Robust experience with Unix/Linux scripting
• Experience designing, developing, and supporting large-scale data-processing pipelines
• Strong debugging, troubleshooting, and performance-tuning skills, particularly across Spark and Hive
• Experience working with high-volume structured and semi-structured datasets
• Good understanding of SDLC and software development practices Big Data & Hadoop Ecosystem Skills Experience with the following technologies will be advantageous:
• Apache Sqoop for data ingestion and integration
• Apache Flume for data collection and ingestion




• Apache Oozie for workflow scheduling
• Apache HBase for distributed NoSQL workloads
• Apache Kafka for messaging and streaming use cases
• Autosys or similar enterprise job-scheduling tools
• Java and/or Python for Big Data application development

Key Responsibilities
• Design, develop, test, and maintain scalable Big Data applications and data-processing solutions.
• Develop distributed data-processing solutions using Hadoop, HDFS, Spark, and Hive.
• Build and maintain reliable batch and large-scale data-processing pipelines.
• Develop and optimize Spark applications, Spark SQL, Hive queries, and UDFs.
• Perform debugging, troubleshooting, and performance tuning of Spark and Hive workloads.
• Process and transform high-volume datasets efficiently.
• Work with Hadoop ecosystem components for data ingestion, processing, and workflow orchestration.
• Identify performance bottlenecks and implement appropriate optimization techniques.
• Participate in requirements analysis, technical design, development, testing, deployment, and production support.
• Follow established SDLC and Agile development practices.
• Collaborate effectively with technical and business stakeholders.
• Work independently and take ownership of assigned development deliverables. Good-to-Have Skills
• Apache Kafka and real-time/streaming data-processing concepts
• Spark Structured Streaming
• Apache HBase
• Sqoop, Flume, and Oozie
• Autosys or equivalent scheduling tools
• Exposure to cloud-based Big Data environments
• Banking / BFSI domain experience
• Experience supporting production Big Data applications

📌 Big Data (Mumbai)
🏢 Tata Consultancy Services
📍 Mumbai