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Big Data Engineer with Java

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Hybrid

Big Data Engineer with Java

IntraEdge Technology

Big Data Engineer with Java

Skills

SQL QueriesBig DataData EngineeringJavaMicroservicesSpring BootKafkaSnowflakeDatabricksPySparkHadoop

20 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Hybrid

Published on:

29 September 2026

What they need


Job Title: Big Data / Java Data Engineer Engineer II Premium

Location: Gurgaon / Gurugram
Experience: 4+ Years
Employment Type: Full-time

Work Mode - Hybrid

Job Overview

We are looking for an experienced Java / Big Data Data Engineer with strong hands-on experience in Java, Spring Boot, ETL, Big Data and Data Warehousing.

The ideal candidate should have a strong software engineering foundation along with experience building or supporting data processing pipelines and working with large-scale data.

Key Responsibilities

  • Design, develop and maintain data engineering and data processing solutions using Java and Spring Boot.
  • Develop and maintain ETL/ELT pipelines for data ingestion, transformation and processing.
  • Work with Big Data technologies such as Apache Spark, Hadoop, Hive, Kafka or similar technologies.
  • Develop efficient and complex SQL queries for data processing and analysis.
  • Work with Data Warehousing concepts, data models and large-scale datasets.
  • Build scalable and reliable data processing applications.
  • Collaborate with engineering, data and business teams to understand requirements and deliver production-quality solutions.
  • Troubleshoot and optimize application/data pipeline performance.
  • Participate in design, development, testing, deployment and production support activities.

Mandatory Skills

  • 4+ years of relevant software/data engineering experience.
  • Strong hands-on Java development experience.
  • Strong experience with Spring Boot.
  • Hands-on experience with ETL / Data Pipelines / Data Engineering.
  • Experience with one or more Big Data technologies, preferably Spark, Hadoop, Hive or Kafka.
  • Strong SQL skills.
  • Exposure to Data Warehousing / Data Warehouse concepts.
  • Good understanding of software development and production environments.

Good to Have

  • Apache Spark / PySpark
  • Hadoop / Hive
  • Kafka
  • Databricks
  • Snowflake / Teradata / Redshift / BigQuery
  • Microservices / REST APIs
  • Cloud technologies
  • CI/CD and DevOps exposure
  • Experience working with large-scale enterprise data platforms

Candidate Profile

We are looking for candidates who have a combination of:

Java + Spring Boot + ETL/Data Engineering + Big Data + SQL + Data Warehousing

Candidates with only Java backend experience and no meaningful ETL/Data Engineering exposure may not be suitable for this position.

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