Big Data

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)

Job Description

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]
• Good 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.