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Big Data Engineer - Hadoop/Hive
Big Data Engineer - Hadoop/HiveHARP Technologies and Services • Andhra Pradesh
Big Data Engineer - Hadoop / Hive

Big Data Engineer - Hadoop / Hive

HARP Technologies and Services • Andhra Pradesh
29 days ago
Job description

Description :

  • Skill : Bigdata + Pyspark
  • Location : Hyderabad only
  • Experience : 5-9 Years
  • Notice Period : Immediate to 30 Days
  • Interview Mode : L1 Virtual / L2 F2F (Mandatory)
  • Work Mode : Hybrid
  • Skills required : Bigdata (Hadoop Hive, Impala, Spark) , pyspark, Python, Oracle, Exadata (RDBMS), Autosys, Bitbucket

Job Summary :

We are seeking a Specialist with 5 to 8 years of experience in the Big Data Hadoop Ecosystem to design and implement scalable data solutions.

Detailed Job Description :

  • Work extensively with the Big Data Hadoop Ecosystem to process and analyze large datasets.
  • Utilize Hadoop, Spark, and SparkSQL technologies to build efficient and high-performance data pipelines.
  • Leverage Python for data manipulation, automation, and integration tasks.
  • Collaborate with cross-functional teams to gather data requirements and deliver optimized solutions.
  • Participate in the design, development, and deployment of Big Data applications and frameworks.
  • Ensure data quality, integrity, and security across big data environments.
  • Stay current with the latest trends and advancements in Hadoop and Spark technologies.
  • Optimize system performance and troubleshoot issues related to big data infrastructure.
  • Roles and Responsibilities :

  • Design and develop scalable Big Data solutions using the Hadoop and Spark ecosystems.
  • Implement and optimize SparkSQL queries for performance and efficient resource utilization.
  • Develop Python scripts for data ingestion, transformation, and workflow automation.
  • Monitor and maintain Hadoop clusters to ensure high availability and reliability.
  • Collaborate with data engineers, analysts, and stakeholders to deliver actionable insights.
  • Conduct code reviews and provide technical guidance to junior team members.
  • Participate in capacity planning, system tuning, and performance benchmarking.
  • Document technical specifications, processes, and best practices for big data projects.
  • (ref : hirist.tech)

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    Big Data Engineer • Andhra Pradesh

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