Big Data Pyspark

About LTIMindtree

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

Big Data Pyspark

Location: Irving, TX

Duration: Full time

• Design develop and maintain data pipelines using PySpark for largescale data processing
• Perform data transformations aggregations and validations using Spark SQL DataFrames
• Write and optimize SQL queries for data extraction reconciliation and reporting
• Perform data quality checks profiling and consistency validations
• Support existing data pipelines by troubleshooting failures and performing root cause analysis
• Work closely with data engineers analysts QA and DevOps teams in Agile delivery models
• Optimize performance of Spark jobs for efficiency and scalability
• Maintain technical documentation workflows and runbooks
• Follow enterprise standards for coding deployment and change management26 years of experience in Big Data Engineering roles
• Strong hands on experience with PySpark Apache Spark
• Solid understanding of SQL and relational database concepts
• Experience working in Linux UNIX environments
• Understanding of ETL concepts and largescale data processing
• Strong analytical and debugging skills
• Experience supporting production data pipelines Exposure to Azure Databricks ADF Synapse or similar cloud data platforms
• Experience with Hadoop ecosystem Hive HDFS
• Knowledge of orchestration tools eg Airflow
• Python scripting beyond Spark use cases
• Familiarity with Agile DevOps delivery practices
• Domain exposure eg Banking BFSI Analytics is an advantage Strong problem solving and ownership mindset
• Ability to work collaboratively in cross functional teams
• Good communication and documentation skills
• Ability to adapt quickly in dynamic project environments

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

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 Canada 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.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, 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.