LTIMindtreeLTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.
As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.
Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
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Irving, Texas
Design, build, and maintain scalable data pipelines using PySpark, Spark SQL, and Python
Requires close collaboration with business, analytics, and engineering teams to transform raw data into actionable intelligence.
Work with large-scale data platforms (Hive, Impala, S3, HDFS)
Implement ETL/ELT workflows using tools such as Talend or b Initio
Ensure data quality, performance, and reliability across pipeline
Optimize data models for analytics and AI use cases
Advanced Analytics, ML & AI Enablement
Analyze large datasets to identify trends, anomalies, and behavioral patterns
Apply machine learning and AI concepts (supervised / unsupervised learning) to support predictive and exploratory analysis
Perform feature engineering and data transformations to enable ML models
Partner with analytics and data science teams to prepare, validate, and operationalize datasets for AI/ML workflows
Support trend analysis, segmentation, clustering, and forecasting use cases
Interpret analytical results and translate them into business-friendly insights
Data Analysis & Insight Generation
Conduct deep-dive data analysis using SQL, Python, and Spark
Create analytical datasets for dashboards, reporting, and advanced analytics
Validate trends and findings with statistical reasoning and data profiling
Collaborate closely with stakeholders to answer complex business questions using data
Required Skills & Experience
8–15 years of experience in Data Engineering or Advanced Analytics roles
Strong proficiency in Python, PySpark and data ingestion tools like Ab Initio/Talend (must-have)
Advanced SQL and RDBMS expertis
Strong experience in data analysis, data exploration, and trend identification
Solid understanding of machine learning fundamentals like Regression, classification, clustering, Feature engineering
Hands-on experience with Big Data technologies (Spark, Hive, Impala, HDFS, S3) and data lakehouse architecture(AWS Cloud/Airflow/Starburst/Iceberg)
Comprehensive Medical Plan Covering Medical, Dental, Vision
Short Term and Long-Term Disability Coverage
401(k) Plan with Company match
Vacation Time, Sick Leave, Paid Holidays
Paid Paternity and Maternity LeaveThe 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.
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.
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