Specialist - Data Engineering

Role description

Job Summary

We are seeking a Senior Snowflake Developer with at least 6 years of experience to design, develop, and optimize secure, scalable data solutions. The ideal candidate will have hands-on expertise in Snowflake, Snowflake data products, COCO, Snowflake AI/ML, Azure Data Factory, Azure Data Lake Storage Gen2, SQL, and DevOps practices, with the ability to lead development independently.

Key Responsibilities

• Snowflake solution development: Design, develop, and implement secure, scalable Snowflake data solutions with a focus on performance, reliability, and efficient resource utilization.
• Data pipelines and integration: Build, configure, and manage Azure Data Factory pipelines for data ingestion, transformation, and loading across Azure SQL Database, Azure Data Lake Storage Gen2, and Snowflake.
• Data migration and environment management: Support data transformation and migration initiatives, including production-to-lower-environment Snowflake refreshes, while maintaining data accuracy and operational efficiency.
• SQL and performance optimization: Develop and tune complex SQL queries, monitor platform performance, and optimize workloads and resource consumption.
• Data quality and monitoring: Implement data-quality checks, operational monitoring, and appropriate metrics to identify issues and maintain reliable data processing.
• DevOps and automation: Automate data pipelines and code deployments using CI/CD tools, troubleshoot issues within the data-operations environment, and support dependable releases.
• Collaboration and independent delivery: Work with data architects, analysts, and other team members to translate requirements into effective solutions while independently driving development activities.
• Troubleshooting: Diagnose and resolve issues across Snowflake solutions, data pipelines, and integration processes.
• Documentation: Maintain clear documentation for architectures, data designs, pipelines, processes, and operational procedures to support maintainability and knowledge sharing.

Mandatory Skills

• Snowflake
• Snowflake AI/ML
• Snowflake Data Science

Skills Mandatory Skills : Snowflake, Snowflake AI/ML, Snowflake-Data Science

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, 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.

Benefits

• Compensation range: $60.00 to $70.00 per year About LTM LTM 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.
• 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 - https://www.ltm.com/careers/recruitment-fraud-alert