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 as a Python Data Engineer
  • Proficiency in Apache Spark for data processing
  • Strong skills in developing scalable data pipelines
  • Experience with data quality assurance and integrity
  • Ability to collaborate with data scientists and cross-functional teams
  • Familiarity with data transformations and analytics reporting
  • Relevant certifications in big data and analytics are required

Responsibilities

  • Design and optimize scalable data processing applications using Apache Spark
  • Write efficient and reusable Python code for data engineering tasks
  • Analyze complex data sets to extract business insights
  • Collaborate with stakeholders to fulfill data solution requirements
  • Mentor junior team members and promote knowledge sharing
  • Participate in code reviews to ensure coding standards
  • Manage and monitor data pipeline health in production

Benefits

  • Opportunity to work with cutting-edge big data technologies
  • Collaborative work environment with cross-functional teams
  • Potential for professional growth through mentorship
  • Focus on maintaining data integrity and quality
  • Engagement in code reviews and knowledge-sharing initiatives
Full Job Description
Role description

Job Title: Big DATA Developer

Work Location : Tampa FL

Job Description:

  • Seeking a Senior Big Data Engineer with 5 to 7 years of experience skilled in Apache Spark and Python to design and implement scalable data processing solutions
  • Develop and maintain robust data pipelines using Apache Spark and Python
  • Collaborate with data scientists and analysts to optimize data workflows
  • Ensure data quality and integrity across large datasets Implement data transformations and aggregations for analytics and reporting
  • Work with cross-functional teams to integrate data solutions into existing systems
  • Monitor and troubleshoot data processing jobs to ensure reliability and performance
  • Stay updated with emerging technologies and best practices in big data and Python development


Roles and Responsibilities
  • Design develop and optimize scalable data processing applications leveraging Apache Spark
  • Write clean efficient and reusable Python code to support data engineering tasks
  • Analyze complex data sets to identify trends and insights for business use
  • Collaborate with stakeholders to gather requirements and deliver data solutions that meet business needs
  • Mentor junior team members and contribute to sharing knowledge within the team
  • Participate in code reviews and ensure adherence to coding standards and best practices
  • Manage data pipeline deployments and monitor their health in production environments

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