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 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 .
Job Title: Specialist - Data Engineering (DBT/Python/SQL)
Work Location- NY, NY
Job Description:
Design build and maintain scalable data models and transformation pipelines using dbt SQL and Python.
Build and optimize ELT Extract Load Transform workflows using Python scripts and orchestration tools like Airflow or Dagster.
Implement data testing validation and documentation within dbt to ensure data integrity and reliability.
Manage and enhance database and data warehouse solutions e.g. Snowflake Big Query Redshift.
Work closely with data scientists analysts and business stakeholders to understand data requirements and translate them into robust data solutions.
Continuously monitor and optimize data workflows and SQL queries for performance and cost efficiency.
Version control CICD Leverage software engineering best practices including version control Git and CICD pipelines for automated testing and deployment.
Troubleshooting Monitor and troubleshoot issues within data pipelines and systems to ensure data availability and accuracy.
Proficiency in SQL Strong experience in writing complex optimized SQL queries for data manipulation and extraction.
Extensive programming experience in Python for data processing automation and building data pipelines using libraries like pandas or PySpark.
Hands-on experience with dbt Data Build Tool for data transformation modeling testing and documentation.
Familiarity with modern cloud data platforms such as Snowflake AWS Azure or Google Cloud Platform.
Solid understanding of data modeling concepts eg star schema dimensional modeling and database design principles.
Experience with data integration transformation and ETLELT techniques and tools
Excellent analytical and problem-solving skills to debug and resolve complex data issues.
Strong communication skills to effectively collaborate with both technical and nontechnical teams.
Version control Experience with version control systems especially Git.
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.
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