Python Developer

• *About US:**

LTIMindtree 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. For more information, please visit www.ltimindtree.com.

• *Job Title: Python PySpark Developer
• *Work Location

: Tampa, Florida

• *Job Summary
• *Core Data Engineering
• 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)
• *Benefits and Perk

s

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• 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.