Senior Specialist - Data Engineering

Job Summary

Seeking a skilled professional with strong hands‑on experience in Google Big Query and advanced SQL capabilities to manage and optimize data solutions in production environments.

• Develop, maintain, and optimize Big Query datasets and queries to support business analytics.
• Analyze and troubleshoot complex SQL queries to ensure data accuracy and performance.
• Implement and manage partitioned and clustered tables for efficient data storage and retrieval.
• Create and maintain views, materialized views, and user‑defined functions (UDFs) to support various data use cases.
• Collaborate with cross‑functional teams to understand data requirements and deliver scalable solutions.
• Monitor and improve query performance and resource utilization in production environments.

• Comprehensive medical plan covering medical, dental, and vision.
• Short‑term and long‑term disability coverage.
• 401(k) plan with company match.
• Life insurance.
• Paid paternity and maternity leave.
• Vacation time, sick leave, and paid holidays.

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.