Specialist - Data Engineering

Role descriptionTitle - Azure Data EngineerLocation - Fortworth, TXLooking for Fulltime profiles who are open to relocate to Dalla, TX Description  Seeking an Overseas Contractor with 5 to 7 years of experience to design develop and maintain scalable data engineering solutions using Python and Azure Data Factory within the Azure Data Factory ADF skill cluster  Job Description   Collaborate closely with source data application teams and product owners to gather and translate business requirements into robust technical solutions Design develop and maintain scalable and efficient data pipelines and ETL processes using Python and Azure Data Factory Implement data migration and transformation workflows leveraging Azure cloud services to enable efficient data ingestion processing and storage Ensure data quality security and compliance by adhering to best practices and governance policies within Azure environments Optimize performance of data pipelines and cloud infrastructure to support largescale data processing Support continuous integration and continuous deployment CICD pipelines for data engineering projects Stay updated with emerging Azure and data engineering technologies and recommend improvements to existing solutions Work independently and collaboratively within crossfunctional teams to deliver data engineering solutions aligned with business objectivesRoles and Responsibilities     Lead the design and implementation of scalable and reusable batch and streaming data pipelines using Python and Azure Data Factory Provide technical leadership and mentorship to junior engineers and team members on best practices in Python programming and Azure Data Factory Collaborate with DevOps teams to manage deployment monitoring and support of data engineering solutions Troubleshoot and resolve data pipeline issues to ensure high availability reliability and optimal performance Participate in architectural discussions and contribute to the development and enforcement of coding standards security guidelines and privacy compliance Engage with stakeholders to gather requirements and translate them into technical solutions aligned with business goals Drive continuous improvement initiatives by researching and applying industry best practices in cloud data engineering Support production environments with timely incident response and root cause analysisOther detailsBenefits/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 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.Disclaimer: The compensation and benefits information provided herein is accurate as of the date ofthis posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Ouremployment decisions are made without regard to race, color, creed, religion, sex (includingpregnancy, childbirth or related medical conditions), gender identity or expression, national origin,ancestry, age, family-care status, veteran status, marital status, civil union status, domesticpartnership status, military service, handicap or disability or history of handicap or disability, geneticinformation, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientationor preference, or any other characteristic protected by applicable federal, state, or local law, exceptwhere such considerations are bona fide occupational qualifications permitted by law.