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Salary
≈ $102k – $195k per year (Estimated)
Location
In office (Tampa)
Seniority
Senior · 3+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 25, 2026. Ltm scores B on the Alion truth index.

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Ltm

LTIMindtree is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors to get to the future faster by combining engineering DNA and tech expertise.

Job Title: Sr. DATA Engineer

Work Location : Tampa FL

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 capabilitiesÂ

    Roles and ResponsibilitiesÂ

    • 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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