Databricks Data Engineer

LTM; Irving (TX); Sur place; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Comprehensive Medical Plan Covering Me

Short Term and Long-Term Disability

401(k) Plan with Company match

Life Insurance

Paid Paternity and Maternity Leave

Résumé du poste

LTIMindtree, a global technology consulting and digital solutions company, seeks a Databricks Data Engineer with AI Data Platform expertise in Irving, TX. You will work on Databricks Lakehouse architectures, Unity Catalog, and REST API integrations to enable scalable data products.

Collaboration with cross-functional teams, strong SQL and Python skills, data modeling, and ETL/ELT development are essential. Experience with AI-enabled data platforms and enterprise data governance will be highly

Qualifications

• Strong experience with Databricks Lakehouse, Unity Catalog, and data governance.
• Proficient in SQL and Python for data engineering tasks.
• Experience building ETL/ELT pipelines and REST API integrations.

Responsabilités

• Develop and maintain data pipelines and data models using Databricks and related tools.

Connaissances

Databricks

Databricks Workflows

Unity Catalog

SQL and Python

Data Modeling

ETL ELT Development

REST APIs and Integration Frameworks

Git CICD DevOps

Description du poste

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 700+ 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.

Role: Databricks Data Engineer with AI Data Platform

Location: Irving TX

Technical Skills Primary

Key Responsibilities

• PowerPoint

Required Skills

• Databricks
• Databricks Workflows
• Unity Catalog
• SQL and Python
• Data Modeling
• ETL ELT Development
• REST APIs and Integration Frameworks
• Git CICD DevOps

Preferred Skills

• Mosaic AI
• Vector Search
• Feature Store Implementation
• RAG Data Foundations
• Knowledge Graphs Metadata Management
• Oracle ERP and ServiceNow Data Integration

Preferred Experience

• Retail Analytics
• AIML Enablement Platforms
• Databricks Lakehouse Architecture
• Generative AI Agentic AI Programs

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
• 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.