Specialist - Data Engineering

Role Description Azure Data Engineer Location - Phoenix, AX or Dallas, TX This is Hybrid role and there will be in-person client interview Job Summary Seeking a Specialist with 5 to 7 years of experience in Azure Databricks Python Delta Lake and Azure Container Apps to design and implement advanced data engineering solutions Job Description Work within the Azure Databricks skill cluster family focusing on data migration ingestion and processing Utilize Databricks Python Delta Lake and Azure Container Apps ACA to build scalable reliable and efficient data pipelines Collaborate with source data application teams and product owners to integrate data solutions supporting analytics and business intelligence Apply best practices in cloud engineering data modeling and performance tuning to optimize data workflows Ensure data governance privacy and security standards are upheld in all data engineering activities Leverage expertise in Azure native cloud services to manage data storage transformation and consumption layers Utilize AIassisted developer tools to enhance development efficiency and quality Implement and improve CICD pipelines using GitHub and GitHub Actions Support monitoring ing and performance tuning of data platforms Mentor junior team members and contribute to knowledge sharing within the team Roles and Responsibilities Design develop and implement batch and streaming data pipelines using Azure Databricks Python Delta Lake and Azure Container Apps Collaborate closely with crossfunctional teams including source data teams and product owners to deliver analytics solutions that enhance decisionmaking Lead development of coding standards best practices and security guidelines for data engineering projects Participate actively in the full software development lifecycle including testing deployment and production support Provide technical leadership and work independently as well as part of a DevOps team responsible for endtoend product ownership Perform cloud infrastructure design network security and administration related to data engineering solutions Mentor others on technical and domain skills to create multifunctional teams Implement and maintain CICD pipelines leveraging GitHub Actions for automation and continuous delivery Other Details Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits And Perks Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid 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.