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Big Data Engineer

2 months ago

Salem, India Pert Telecom Solutions Full time

Job Description: 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.