Senior Specialist - Data Engineering

Role descriptionBefore applying for this role, please read the following information about this opportunity found below.Qualifications6 to 8 years in datacloud operations or data engineering with handson Azure Data FactoryStrong fabric Pyspark experience dedicatedServerless SQL pools pipeline orchestration performance tuningSCOPE scripting Cosmos for largescale data processing USQL familiarity is a plusAzure data lake storage exposure RU planning throughputcost tradeoffs consistency partitioning added advantageProficient with Log AnalyticsKQL SQL and runtime diagnostics across ADFSynapseADLSProblem solving analytical skills rootcause isolation signalnoise filtering hypothesisdriven debugging and impact quantificationCICD with ADOGit disciplined changeCAB practices clear incident commsNicetoHave EngineerSpark Python data toolingEngineerKeep missioncritical ADFFabric pipelines healthy Youll use PySpark KQLSQL and automation to detect anomalies early restore service fast and harden the platform Cosmos DB experience is a plusSkillsMandatory Skills : Azure Data Factory, Microsoft FabricOther 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 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.BenefitsCompensation range: $70,000.00 to $90,000.00 per yearAbout LTMLTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI "” enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM "” a Larsen & Toubro company "” owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. xijylhu Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert -

Created: 2026-05-11