Source description
About the role
Job Description
Skill Set
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Data engineering
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Total Experience :
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4.00 to 13.00 Years
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No of Openings :
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1
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Job Post Date :
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24/06/2026
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Job Expiry Date :
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31/10/2026
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Domain :
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IT
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Location :
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CHENNAI [India]
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Job Reference No :
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4089501
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Job Summary
Skill – Pyspark or Spark Data Engineer role - ( Hadoopis must)
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Exp – 3 - 12 Yrs
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Location – Chennai – Sholinganallur / Bangalore – RMZ Ecoworld – Bellandur
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Hybrid Mode – 3 Days a week as per organization policy
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
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Design and develop robust ETL/data pipelines using Hadoop ecosystem tools.
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Build and optimize large-scale data processing jobs using Spark and/or Hive.
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Develop workflows using Airflow.
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Write complex SQL/HiveQL for data transformation and reporting needs.
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Ingest structured and unstructured data from multiple sources (Kafka, Sqoop, APIs, files).
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Ensure data quality, lineage, and governance standards are followed.
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Monitor, troubleshoot, and tune jobs for performance and scalability.
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Create technical documentation and follow coding best practices.
Required Skills
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3-8 years of hands-on experience in Hadoop/big data development.
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Strong knowledge of HDFS, Hive, Spark,
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String knowledge in Python/Scala
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Strong SQL and data modelling fundamentals.
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Experience with workflow orchestration tools (Airflow).
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Good understanding of Linux, shell scripting, and distributed systems.
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Familiarity with version control (Git) and Agile delivery practices.
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