Hiring Bigdata Engineers - Chennai/ Bangalore Location

Tech Mahindra Limited; Chennai, Bengaluru; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Tech Mahindra Limited is seeking a Hadoop Developer with 3-8 years of experience in big data engineering to design, build, and optimize scalable data pipelines on Hadoop ecosystem technologies. The role involves batch/stream processing, data integration, performance tuning, and close collaboration with business teams.

Responsibilities include designing ETL pipelines, using Spark/Hive, building Airflow workflows, and writing SQL/HiveQL for transformation and reporting.

Qualifications

• 3-8 years of hands-on experience in Hadoop/big data development.
• Strong knowledge of HDFS, Hive, Spark.
• Strong knowledge in Python/Scala.
• Strong SQL and data modelling fundamentals.
• Experience with workflow orchestration tools (Airflow).
• Good understanding of Linux, shell scripting, and distributed systems.
• Familiarity with version control (Git) and Agile delivery practices.

Responsibilities

• Design and develop robust ETL/data pipelines using Hadoop ecosystem tools.
• Build and optimize large-scale data processing jobs using Spark and/or Hive.
• Develop workflows using Airflow.
• Write complex SQL/HiveQL for data transformation and reporting needs.
• Ingest structured and unstructured data from multiple sources (Kafka, Sqoop, APIs, files).
• Ensure data quality, lineage, and governance standards are followed.
• Monitor, troubleshoot, and tune jobs for performance and scalability.
• Create technical documentation and follow coding best practices.

Skills

Hadoop/big data

HDFS

Hive

Spark

Python/Scala

SQL

Airflow

Linux

Git

Agile

Tools

Airflow

Kafka

Sqoop

Job description

Job Summary

Seeking a Hadoop Developer with 3-8 years of experience in big data engineering to design, build, and optimize scalable data pipelines on Hadoop ecosystem technologies. The role involves batch/stream processing, data integration, performance tuning, and close collaboration with business teams.

Key Responsibilities

1. Design and develop robust ETL/data pipelines using Hadoop ecosystem tools.
2. Build and optimize large-scale data processing jobs using Spark and/or Hive.
3. Develop workflows using Airflow.
4. Write complex SQL/HiveQL for data transformation and reporting needs.
5. Ingest structured and unstructured data from multiple sources (Kafka, Sqoop, APIs, files).
6. Ensure data quality, lineage, and governance standards are followed.
7. Monitor, troubleshoot, and tune jobs for performance and scalability.
8. Create technical documentation and follow coding best practices.

Required Skills

1. 3-8 years of hands-on experience in Hadoop/big data development.
2. Strong knowledge of HDFS, Hive, Spark,
3. Strong knowledge in Python/Scala
4. Strong SQL and data modelling fundamentals.
5. Experience with workflow orchestration tools (Airflow).
6. Good understanding of Linux, shell scripting, and distributed systems.
7. Familiarity with version control (Git) and Agile delivery practices.