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Big Data/Hadoop Developer

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Job Title: Big Data Hadoop Developer
Location: Hyderabad
Work mode: 5 Days - (WFO)
Experience Required: 4+ years
Key Skills: Big Data, Hadoop, Spark, Hive

Job Overview
We are looking for an experienced Big Data Hadoop Developer to design, build, and optimize large-scale data processing systems. The ideal candidate should have strong expertise in the Hadoop ecosystem, hands-on experience with Spark and Hive, and the ability to develop efficient ETL pipelines.

Key Responsibilities

  • Design, develop, and maintain scalable big data systems and data pipelines.
  • Implement data processing frameworks using Hadoop, Spark, and Hive.
  • Develop and manage ETL workflows to ensure data accuracy, consistency, and availability.
  • Collaborate with data architects, analysts, and business teams to translate requirements into robust big data solutions.
  • Perform data validation, quality checks, and issue resolution for data pipelines.
  • Optimize data storage, query performance, and cluster utilization in the Hadoop ecosystem.
  • Ensure compliance with security, governance, and data management standards.

Required Skills & Qualifications

  • 4+ years of hands-on experience in Big Data technologies.
  • Strong understanding of the Hadoop ecosystem (HDFS, MapReduce, YARN).
  • Proficiency in Apache Spark (batch and streaming) and Hive.
  • Experience in building and maintaining data pipelines and ETL processes.
  • Strong knowledge of data optimization, partitioning, and performance tuning.
  • Familiarity with NoSQL databases such as HBase, Cassandra, or MongoDB is an advantage.
  • Experience with programming/scripting languages: Java, Scala, Python, or Shell.
  • Strong analytical and problem-solving skills.

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹2,400,000.00 per year

Application Question(s):

  • How many years of experience you have with Big Data, Hadoop, Spark, Hive?
  • Mention your Notice Period, Current CTC and ECTC.
  • How many years of experience you have with Big Data / Hadoop Developer?

Work Location: In person

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