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Big Data Hadoop Developer

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Hybrid

Big Data Hadoop Developer

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Big Data Hadoop Developer

Skills

Google Cloud PlatformSQL QueriesBig DataData EngineeringData MiningPythonKafkaDatabricksScalaAWSPySparkApache AirflowHadoopAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

17 September 2026

What they need


Big Data Hadoop Developer

Experience: 512 Years
Location: Bangalore
Role: Big Data / Hadoop Developer

Job Summary

We are looking for an experienced Big Data Hadoop Developer with 5–12 years of experience in designing, developing, and optimizing large-scale data processing solutions. The candidate should have strong hands-on experience with the Hadoop ecosystem, data processing, ETL, SQL, and distributed computing.

Key Responsibilities

  • Design, develop, and maintain scalable Big Data processing solutions.
  • Work with Hadoop ecosystem technologies for processing and managing large datasets.
  • Develop and optimize data pipelines for structured and unstructured data.
  • Perform data extraction, transformation, cleansing, and loading.
  • Develop complex SQL queries for data processing and validation.
  • Work with distributed data processing frameworks and optimize jobs for performance.
  • Troubleshoot data pipeline failures and production issues.
  • Analyze data requirements and translate them into technical solutions.
  • Collaborate with Data Engineers, Data Architects, Analysts, and business stakeholders.
  • Ensure data pipelines are reliable, scalable, and maintainable.
  • Perform data validation and reconciliation.
  • Maintain technical documentation for data pipelines and processes.

Required Skills

  • 5–12 years of experience in Big Data / Data Engineering.
  • Strong hands-on experience with Hadoop.
  • Good knowledge of HDFS, Hive, and MapReduce.
  • Experience with Apache Spark / PySpark.
  • Strong SQL skills.
  • Experience with ETL/data pipeline development.
  • Good understanding of distributed computing and Big Data architecture.
  • Experience working with large datasets.
  • Strong debugging and performance-tuning skills.
  • Good analytical and problem-solving abilities.

Good to Have

  • Kafka
  • Scala / Python
  • HBase
  • Sqoop
  • Oozie
  • Databricks
  • Airflow
  • Cloud platforms – AWS / Azure / GCP

Key Skills

Hadoop | HDFS | Hive | Spark | PySpark | Big Data | SQL | ETL | Data Engineering | Kafka | Data Processing

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