Sr. Python Developer

7 hours ago

Navi Mumbai, Maharashtra, India Pert Telecom Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description: Software Data Engineer

As a Software Engineer specializing in Telecom Products, you will be a vital member of our R&D team, contributing to the development of cutting-edge telecommunications solutions. Your role will involve leveraging your extensive experience to design and implement robust software solutions for scalable telecom products and features

Position Summary

We are seeking a skilled Big Data Engineer with deep expertise in PySpark, Python, MySQL, Hadoop and Linux. The ideal candidate should have extensive experience deploying and managing these tools within on-premises environments (no public cloud). Proficiency in cluster management, performance optimization, and monitoring is essential for this role.

Key Responsibilities:

  • Develop and implement data ingestion pipelines and ETL processes using
    PySpark
    and
    Python
    capable of managing and processing
    large volumes
    of data, ranging in the
    millions
    of records.
  • Design and develop
    APIs
    using Python to facilitate data integration and processing.
  • Deploy, configure, and maintain
    Hadoop
    ecosystem components including
    HDFS
    , YARN, Hive, and HBase in on-premises environments.
  • Optimize the
    performance
    of Big Data applications and queries, ensuring efficient resource utilization.
  • Manage and monitor cluster
    health
    , including tuning and
    troubleshooting
    performance issues.
  • Ensure data
    security
    ,
    integrity
    , and
    availability
    within the Big Data infrastructure.
  • Collaborate with cross-functional teams to integrate data analytics solutions and support business requirements.

Required Skills and Qualifications:

  • Bachelor's degree in computer science, Engineering, or a related field;
  • Proven experience 3+ years working with Big Data technologies such as Hadoop, PySpark, and MySQL in on-premises environments and handling large-scale data volumes, including datasets with millions of records, in on-premises environments.
  • Strong programming skills in Python, with experience in developing APIs.
  • Hands-on experience in Linux.
  • Expertise in deploying, managing, and optimizing Big Data clusters in a local data center.
  • Proficiency in monitoring and performance tuning of Hadoop and PySpark clusters.
  • Ability to troubleshoot and resolve complex issues related to data processing and infrastructure.
  • Excellent problem-solving skills and the ability to work independently as well as part of a team.
  • Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.
  • Experience in dockers

Preferred Skills:

  • Experience with Apache Airflow, Kafka, Apache Flink, and Apache NiFi for data orchestration and streaming.
  • Certification in Hadoop or related Big Data technologies.

Application Process

Interested candidates should submit their resume and a cover letter outlining their qualifications and experience in Big Data engineering and on-premises cluster management and include details of at least one relevant project involving the handling of large data volumes
(in millions of records),
you have worked on, including a brief description of the project, your role and the technologies used. This is
mandatory requirement for our screening process
.

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