Snowflake Data Lead with Python

Overview Snowflake and Python Data Engineer Lead (Onshore) – Hartford, CT (Onsite) Responsibilities Requires 10 to 14 years of experience with proven expertise as a Technical Lead in large‑scale enterprise data projects on Snowflake cloud. Good knowledge and experience in Snowflake and Python. Develop ETL pipelines using Snowflake SQL. Data ingestion by extracting data from different types of files (CSV, JSON, XML). Implement data validation and transformation logic to ensure data integrity, consistency and compliance. Good understanding of ETL concepts and processes. Collaborate with teams to resolve issues. Basic knowledge of insurance domains. Qualifications / Eligibility Criteria Must be proficient in Snowflake features: writing complex queries, stored procedures, UDFs, etc. Programming languages: Python, SQL, SnowSQL – all mandatory. Experience with any ETL tool is acceptable. 10–14 years of experience as a technical lead in large‑scale enterprise data projects. Compensation & Benefits Actual compensation within the displayed range will be dependent upon the individual's skills, experience, performance, and internal equity. Comprehensive Medical Plan covering Medical, Dental, Vision Short‑Term and Long‑Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The salary range reflects the minimum and maximum target for the position across all U.S. locations. Individual pay is determined by work location, job level, and additional factors such as skill set, experience, education, and training. Depending on the position, additional compensation may be provided as part of overall compensation such as an annual performance‑based bonus, sales incentive pay, and other variable compensation. Equal Opportunity Employer LTIMindtree is an equal‑opportunity employer committed to diversity. 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, disability, genetic information, union affiliation, sexual orientation or preference, or any other characteristic protected by applicable law. #J-18808-Ljbffr LTM