Associate Principal - Data Engineering

LTIMindtree Limited

$125K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10 years of experience in big data technologies, specifically Python and Spark SQL.
  • Proficient in Apache Spark, Scala, and SparkSQL for big data processing.
  • Strong background in designing scalable data processing solutions.
  • Experience collaborating with cross-functional teams on technical projects.
  • Familiarity with ensuring data quality and consistency across different sources.

Responsibilities

  • Design, develop, and deploy complex data processing workflows using Spark, Scala, and Python.
  • Write efficient and maintainable code for Spark applications.
  • Troubleshoot and resolve performance issues in Spark jobs and data pipelines.
  • Collaborate with data engineers and scientists to translate requirements into technical solutions.
  • Conduct code reviews and mentor junior team members on coding standards.
  • Participate in architectural discussions to enhance big data platforms.
  • Monitor and maintain Spark clusters for health, availability, and reliability.

Benefits

  • Opportunity for professional growth and development through mentorship.
  • Engagement in cutting-edge big data technologies and tools.
  • Collaborative work environment with cross-functional teams.
  • Flexible work arrangements to support work-life balance.
Full Job Description
Role description

Job Title : Senior Big data Developer

Job Location : Irving,Texas

Job Summary

Seeking a Senior professional with 10 years of experience in Python and Spark SQL to design and optimize scalable big data processing solutions within the DatabricksSparkSQLPython ecosystem

Job Description

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 datadriven decision making Collaborate with crossfunctional 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 servicesKarat Interview mandate

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