Big Data Developer

1 day ago

Gurgaon, Haryana, India Viraaj HR Solutions Private Limited Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About The Opportunity
A staffing and HR services firm focused on placing talent into Enterprise IT, Analytics, and Big Data engineering projects across Banking, Retail, Telecom, and SaaS sectors. We partner with product and services organisations to deliver scalable data platforms, real-time analytics, and high-throughput ETL solutions.

We are hiring an on-site Big Data Engineer in India to design, build, and optimise data pipelines and platform components for mission-critical data applications.

Role & Responsibilities

  • Design and implement end-to-end batch and streaming data pipelines using Spark and Hadoop ecosystem components.
  • Develop ETL jobs and data transformation logic in Python/SQL, ensuring scalability and maintainability.
  • Integrate and process real-time data streams using Kafka and related ingestion tools; ensure low-latency delivery to downstream systems.
  • Author Hive queries and optimize performance for large-scale datasets; tune Spark jobs to reduce cost and improve throughput.
  • Collaborate with data engineers, analysts, and stakeholders to translate business requirements into robust data models and pipelines.
  • Implement monitoring, logging, and automated testing for data workflows; troubleshoot production issues and perform root-cause analysis.

Skills & Qualifications
Must-Have

  • Apache Spark
  • Hadoop HDFS
  • Apache Hive
  • Apache Kafka
  • SQL
  • Python

Preferred

  • Scala
  • Apache Airflow
  • AWS EMR

Other Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
  • Proven experience delivering on-site in enterprise Big Data environments; familiarity with production deployment practices and CI/CD for data workflows.
  • Strong troubleshooting mindset with experience in performance tuning and data quality assurance.

Benefits & Culture Highlights

  • On-site delivery model with high-impact projects for large enterprise clients and opportunities to work end-to-end on data platforms.
  • Collaborative engineering culture, technical mentoring, and exposure to modern data stack components.
  • Competitive compensation and opportunities for certification/training in cloud and Big Data technologies.

Keywords: Big Data Engineer, Hadoop, Spark, Kafka, ETL, data pipelines, on-site India, data platform, Python, Hive.

Skills: spark,apache spark,sql,apache kafka,python,scala,big data

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