Specialist - Data Engineering

LTM

$90K — $120K *
Tampa, FL 33647In-Person
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in the Big Data Hadoop Ecosystem
  • Proficiency with Hadoop components like HDFS, MapReduce, and YARN
  • Experience in developing scalable data pipelines and workflows
  • Knowledge of Apache Spark and SparkSQL for data processing
  • Strong Python programming skills for data manipulation
  • Ability to ensure data quality, reliability, and security

Responsibilities

  • Design and develop big data solutions using Hadoop components
  • Optimize and tune Hadoop and Spark jobs for better performance
  • Implement data ingestion, transformation, and aggregation processes
  • Troubleshoot data processing and storage issues
  • Collaborate with cross-functional teams to understand data needs
  • Develop and maintain documentation for data workflows and architecture
  • Mentor junior team members in big data technologies

Benefits

  • Opportunity to work in a dynamic tech environment
  • Collaborative team culture with cross-functional engagement
  • Potential for professional growth and mentorship
  • Involvement in cutting-edge big data technologies
  • Focus on continuous learning and keeping up with industry trends
Full Job Description
Role description

Job Title: Big data Developer

Work Location : Tampa,florda

Job Summary
  • Seeking a Specialist with 5 to 7 years of experience in the Big Data Hadoop Ecosystem to design develop and optimize largescale data solutions

Job Description
  • Work extensively with the Big Data Hadoop Ecosystem to manage and process large datasets Utilize Hadoop components such as HDFS MapReduce and YARN for efficient data storage and processing Develop scalable data pipelines and workflows to support data analytics and business intelligence initiatives Collaborate with crossfunctional teams to integrate data from diverse sources Leverage Apache Spark and SparkSQL to improve data processing speed and efficiency Apply Python programming skills for data manipulation automation and scripting tasks Ensure data quality reliability and security across all data processes Stay updated with the latest advancements and trends in Hadoop and big data technologies

Roles and Responsibilities
  • Design develop and maintain big data solutions using Hadoop Ecosystem components Optimize and tune Hadoop and Spark jobs to enhance performance and scalability Implement data ingestion transformation and aggregation processes Troubleshoot and resolve issues related to data processing and storage Collaborate with data scientists analysts and other stakeholders to gather and understand data requirements Develop and maintain comprehensive documentation for data workflows architecture and processes Mentor junior team members and provide technical guidance on big data technologies Participate in code reviews testing and deployment activities to ensure highquality deliverables

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