Senior Data Engineer

LTM

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years of experience in big data technologies, specifically Python, Scala, and Spark SQL
  • Expertise in designing scalable data processing solutions using Apache Spark
  • Ability to analyze large datasets and derive actionable insights
  • Experience integrating big data solutions with existing data systems
  • Proficient in optimizing Spark jobs for performance in distributed computing environments
  • Knowledge of data quality and consistency practices across various data sources
  • Familiarity with the latest advancements in big data processing technologies

Responsibilities

  • Design, develop, and deploy data processing workflows using Apache Spark, Scala, and Spark SQL
  • Write efficient and maintainable code for Spark applications
  • Troubleshoot performance issues in Spark jobs and data pipelines
  • Collaborate with cross-functional teams to align technical solutions with business requirements
  • Conduct code reviews and mentor junior team members
  • Engage in architectural discussions regarding the evolution of big data platforms
  • Monitor the health and reliability of Spark clusters and data services

Benefits

  • Role offers opportunities for mentorship and professional development
  • Engagement in cutting-edge big data technology projects
  • Collaborative work environment with cross-functional teams
  • Potential for involvement in architectural decisions and platform evolution
Full Job Description
Role description

Job Title: Sr. DATA Engineer

Work Location

Irving TX

Job Description:

  • Seeking a Senior professional with 3 to 5 years of experience in Python Scala and Spark SQL to design and optimize scalable big data processing solutions within the Databricks Spark SQL Scala Python Java ecosystem
  • Develop and maintain scalable data processing pipelines using Apache Spark with Python and Scala
  • Utilize Spark SQL to analyze large datasets and extract meaningful insights supporting data driven decision making
  • Collaborate with cross functional teams to integrate big data solutions into existing systems
  • Optimize Spark jobs for performance and efficiency in distributed computing environments
  • Ensure data quality and consistency across various data sources
  • Stay updated with the latest advancements in Spark Scala Python and related big data technologies to continuously improve processing capabilities

Roles and Responsibilities
  • Design develop and deploy complex data processing workflows leveraging Apache Spark Scala Python and SparkSQL
  • Write efficient reusable and maintainable code for Spark applications
  • Troubleshoot and resolve performance bottlenecks in Spark jobs and data pipelines
  • Collaborate with data engineers' data scientists and stakeholders to translate business requirements into technical solutions
  • Conduct code reviews and provide mentorship to junior team members on best practices and coding standards
  • Participate in architectural discussions and contribute to the evolution of big data platforms
  • Monitor and maintain the health availability and reliability of Spark clusters and data services Karat Interview mandate

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