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
- Strong hands-on experience with Apache Hive / HiveQL
- Valuable 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 & Hadoop MapR Developer (Indore)
🏢 Tata Consultancy Services
📍 Indore