Bigdata,Hadoop,HDFS,Hive.SQL,UNIX

5 - 7 years

4 - 6 Lacs

Posted:1 week ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

Data Engineering & Development:

  • Design, build, and maintain

    ETL/ELT pipelines

    using Hadoop ecosystem tools
  • Write complex

    Hive queries

    for data transformation and analysis
  • Work with

    HDFS

    for storage and efficient data access
  • Develop

    UNIX shell scripts

    for automation of jobs and workflows
  • Optimize SQL queries for performance and scalability

Data Processing & Integration:

  • Process large volumes of structured and semi-structured data
  • Integrate data from various sources into Hadoop-based data lakes
  • Work with cross-functional teams to understand data requirements and deliver solutions

Monitoring, Maintenance & Quality:

  • Monitor and troubleshoot production data pipelines
  • Ensure data quality, integrity, and consistency across systems
  • Support data ingestion, batch processing, and job scheduling (e.g., Oozie, Airflow)

Required Skills and Qualifications:

  • Bachelor's degree in Computer Science, IT, or related field
  • 37 years of hands-on experience with

    Big Data tools

  • Strong expertise in:
  • Hadoop Distributed File System (HDFS)

  • Hive

    (querying, optimization, partitioning)
  • SQL

    (advanced queries, joins, aggregations)
  • UNIX/Linux shell scripting

  • Good understanding of

    data warehousing

    concepts and large-scale data processing

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