Specialist - Data Engineering

Role Description Handson experience in Python and OOPs concept with ability to rapidly learn other related tech stack as needed Handson experience with Python data handling using Pandas Hands on experience in API creation Strong knowledge of SQL using database Experience with object oriented database is a plus Good verbal communication presentation skills Ability to handle pressureconflict Hands on experience while working on complex multitier enterprise applications Hands on experience on programming using Python Oracle SQL etc Working experience in financial services preferably with exposure to risk management trading or other key functions in the banking transaction lifecycle is a plus Good Analytical Debugging and design skills Clear Concise Communication skills ability to articulate ProblemSolution 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.