Snowflake Data Analyst

About US: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. Job Title: Snowflake Data Analyst Work Location Toronto, CA(Remote) Job Description: Key Responsibilities Design and implement scalable data architectures using Snowflake Develop optimize and maintain ETL/ELT pipelines for data ingestion and transformation Model and design data warehouses data marts and schemas StarSnowflake schema Optimize Snowflake performance cost and query efficiency Integrate Snowflake with external systems APIs cloud platforms BI tools Monitor data quality troubleshoot issues and ensure data reliability Implement data security access controls and governance policies Collaborate with data engineers analysts and business teams Automate deployment using CICD pipelines Mentor junior developers and provide technical leadership Mandatory Skills : IICS - IDMC, Snowflake 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, 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 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.

Design and implement scalable data architectures and ETL/ELT pipelines using Snowflake. Optimize query efficiency and integrate Snowflake with external systems, APIs, and BI tools while ensuring data security and governance.

Candidates must possess mandatory skills in IICS (IDMC) and Snowflake. Experience in data modeling, performance optimization, and CI/CD automation is required for this mid-senior level role.

• Comprehensive Medical Plan • Dental Insurance • Vision Insurance • Short Term Disability Coverage • Long-Term Disability Coverage • 401(k) Plan With Company Match • Life Insurance • Vacation Time • Sick Leave • Paid Holidays • Paid Paternity Leave • Paid Maternity Leave

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Iics
• Idmc
• Snowflake
• Etl
• Elt
• Data Modeling
• Data Warehousing
• Cicd
• Data Governance
• Api Integration

• Data & Analytics
• Technology
• Consulting
• Software
• Engineering

Expérience minimale

5+ ans

Postuler avant le

7 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Toronto, Ontario, Canada

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte