Greetings from TCS We’re Hiring: Big Data & Hadoop MapR Developer Role: Developer Primary Skill: Digital : BigData and Hadoop Ecosystem
- MapR

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

About the Role
We are looking for experienced Big Data & Hadoop MapR Developers with strong hands-on development experience in MapR / HPE Data Fabric and Hadoop ecosystem technologies. The role involves designing, developing, optimizing, and supporting scalable Big Data solutions and large-scale distributed data-processing applications. Mandatory Skills
• Strong hands-on development experience with MapR / HPE Data Fabric
• Strong experience with Big Data and Hadoop ecosystem technologies
• Hands-on experience with MapR-FS / Data Fabric File Store
• Strong development experience with Apache Spark
• Robust hands-on experience with Apache Hive / HiveQL
• Good working knowledge of SQL
• Experience with Spark SQL and DataFrames
• Good understanding of HDFS APIs, YARN, and MapReduce
• Strong Unix/Linux scripting experience
• Experience developing large-scale distributed data-processing applications and pipelines
• Strong hands-on experience in Spark and Hive debugging, troubleshooting, and performance tuning
• Good understanding of SDLC and software development practices

Key Responsibilities
• Design, develop, test, and maintain scalable Big Data applications in MapR / HPE Data Fabric environments.




• Develop distributed data-processing solutions using MapR, Hadoop, Spark, and Hive.
• Build and support reliable batch and large-scale data-processing pipelines.
• Develop and optimize Spark applications, Spark SQL, Hive queries, and UDFs.
• Work with high-volume structured and semi-structured datasets.
• Perform debugging, troubleshooting, and performance tuning of Spark, Hive, and Big Data workloads.
• Work with data ingestion, transformation, processing, storage, and workflow orchestration components.
• Identify application and query performance bottlenecks and implement optimization solutions.
• Participate across the SDLC, including requirements analysis, design, development, testing, deployment, and production support.
• Collaborate with cross-functional teams and take ownership of assigned development deliverables. Good-to-Have Skills Experience with any of the following would be an added advantage:
• MapR-DB / Data Fabric Database
• MapR Streams / Data Fabric Event Streams
• Apache Kafka
• Apache HBase
• Apache Sqoop
• Apache Flume
• Apache Oozie
• Autosys or similar enterprise scheduling tools
• Java and/or Python
• Spark Structured Streaming
• Cloud or hybrid Big Data platform exposure
• Agile development methodology
• Banking / BFSI domain exposure
• Production support experience in Big Data environments

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