Weekday walk in interview 22-Aug-2026

Skill: Big Data Hadoop Scala

Exp: 5

Location:Chennai,Bangalore,Pune

Required Technical Skills

- Hadoop Ecosystem: HDFS, YARN, MapReduce
- Apache Spark (Core, SQL, Streaming)
- Scala Programming
- Hive, HBase
- Unix/Linux Shell Scripting
- SQL & Data Warehousing Concepts
- Git, Jenkins, CI/CD tools
- Workflow Scheduling: Oozie / Airflow
- Kafka (Good to Have)
- Cloud Platforms (AWS/Azure) (Good to Have)

We are looking for a skilled Big Data Developer with hands-on experience in Hadoop and Scala technologies. The candidate will be responsible for designing, developing, and maintaining large-scale data processing applications and ETL pipelines using Spark and Hadoop technologies.

Key Responsibilities

- Design and develop scalable Big Data solutions using Scala and Apache Spark.
- Build and optimize ETL pipelines for processing large datasets.
- Develop Hive queries, Spark jobs, and data transformation frameworks.
- Work with HDFS,



YARN, and Hadoop ecosystem components.
- Perform performance tuning and troubleshooting of Spark and Hadoop jobs.
- Collaborate with business stakeholders and data analysts to understand requirements.
- Implement coding standards, unit testing, and deployment processes.
- Participate in Agile ceremonies and support production deployments.

Must Have
- Strong hands-on experience in Scala programming. [Big Data JD | Word], [JD_PySparkScala | Word]
- Experience with Spark and Hadoop development. [Big Data JD | Word], [BOA_JD_Had...op_Ver 2.0 | Word]
- Positive knowledge of Hive, HDFS, MapReduce, and Unix Shell Scripting. [JD_PySparkScala | Word], [BOA_JD_Had...op_Ver 2.0 | Word]
- Strong SQL and data processing skills.
- Experience working in Agile environments.

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