Senior Product Engineer

Role description

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 Data Engineering roles

Strong handson experience with PySpark Apache Spark

Solid understanding of SQL and relational database concepts

Experience working in LinuxUNIX environments

Understanding of ETL concepts and largescale data processing

Strong analytical and debugging skills

Experience supporting production data pipelinesExposure 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 advantageStrong problemsolving and ownership mindset

Ability to work collaboratively in crossfunctional teams

Good communication and documentation skills

Ability to adapt quickly in dynamic project environments

Other details

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision


• Health Care Spending Account


• Short Term and Long-Term Disability Coverage


• Life Insurance


• Annual vacation and other Paid Leaves


• Maternity Leave Top Up Pay

The range displayed on each job posting reflects the total compensation range 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.

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.

Accessibility and Reasonable Accommodation:
LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at so that arrangements can be made for the appropriate accommodations to be in place.