Sr. DATA Engineer

LTM; Irving (TX); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive Medical Plan Covering Medical, Dental, Vision

Short Term and Long-Term Disability Coverage

401(k) Plan with Company match

Life Insurance

Paid Paternity and Maternity Leave

Job summary

LTM in Irving, Texas is seeking a Senior Data Engineer with 3 to 5 years of experience to design and optimize big scalable data processing solutions. The ideal candidate will have expertise in Python, Scala, and Spark SQL, and will collaborate with cross-functional teams to integrate solutions into existing systems.

This role includes responsibilities such as developing scalable data pipelines, optimizing Spark jobs, and mentoring junior team members. Comprehensive benefits include medical coverage, 401(k) plan, and paid leave.

Qualifications

• 3 to 5 years of experience in Python, Scala, and Spark SQL.
• Expertise in designing scalable data processing solutions within the Databricks ecosystem.
• Ability to troubleshoot and resolve performance bottlenecks in Spark jobs.

Responsibilities

• Design and deploy complex data processing workflows leveraging Apache Spark, Scala, Python, and SparkSQL.
• Collaborate with data engineers and stakeholders to translate business requirements into technical solutions.
• Participate in architectural discussions to evolve big data platforms.

Skills

Python

Scala

Spark SQL

Job 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 big scalable 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

Skills

Mandatory Skills: Python, Scala, Spark SQL

Benefits and Perks

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.