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

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
- Strong hands-on experience with Hadoop and HDFS
- Good understanding of YARN and MapReduce
- Solid 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
- Strong 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 & Hadoop Developer (Mumbai)
🏢 Tata Consultancy Services
📍 Mumbai