Snowflake Data Lead with Python

Job Description

Snowflake and Python Data Engineer Lead JD Onshore Hartford CT Onsite 1

• Requires 10 to 14 years of experience with proven expertise as a Technical Lead in largescale enterprise data projects on Snowflake cloud
• Good knowledge and Experience in Snowflake and Python
• Develop ETL pipelines using Snowflake SQL
• Experience in Data ingestion by extracting data from different type 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

Eligibility Criteria

• DB Snowflake Must know features of Snowflake experience in writing complex Queries Stored Procedures UDF etc in Snowflake
• Programming language Python SQL Snow SQL all mandatory python working experience in project is a must
• ETL tools Any ETL tool knowledge is fine

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”)
• 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

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.