Senior Data Engineer

LTM

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

Qualifications

  • 3-5 years of experience with Python, Scala, and SparkSQL
  • Proficient in designing scalable data processing solutions
  • Expertise in Apache Spark for data pipeline development
  • Ability to analyze large datasets using SparkSQL
  • Strong understanding of data quality assurance practices
  • Familiarity with distributed computing environments

Responsibilities

  • Design and deploy data processing workflows using Spark and Scala
  • Write maintainable and efficient code for Spark applications
  • Troubleshoot performance issues in data pipelines
  • Collaborate with teams to translate business needs into solutions
  • Conduct code reviews and mentor junior developers
  • Participate in architectural discussions for big data systems
  • Monitor Spark clusters for optimal performance

Benefits

  • Opportunity to work with cutting-edge big data technologies
  • Collaborative team environment with cross-functional collaboration
  • Mentorship opportunities to develop leadership skills
  • Potential for involvement in architectural decision-making
Full Job Description
Role description

Job Title: Sr. Big DATA Developer

Work Location

Irving TX

Job Description:

  • Seeking a Senior professional with 3 to 5 years of experience in Python Scala and SparkSQL to design and optimize scalable big data processing solutions within the Databricks SparkSQL Scala Python Java ecosystem
  • Develop and maintain scalable data processing pipelines using Apache Spark with Python and Scala
  • Utilize SparkSQL 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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