Data Engineer

Role description Senior Snowflake Data Engineer Location Richardson TX Onsite We are looking for a Senior Data Platform Engineer Candidate will design and operate data pipelines that connect heterogeneous source systems normalize data into consumptionready models in Snowflake and build AIpowered agents that surface intelligence across the platform Core Responsibilities Snowflake engineering Design schemas write performant SQL manage roles warehouse sizing and implement change management practices ETL ELT development Build and maintain pipelines that ingest from diverse sources APIs databases event streams and normalize data for BI and downstream consumers AI agent development Leverage Snowflake Cortex and AI agent frameworks to build intelligent data products and automate analytical workflows Backend API connectivity Develop backend integrations with internal and thirdparty systems via REST APIs and backend services Required Skills Snowflake Handson experience building and optimizing data models writing advanced SQL PIVOT GROUPING SETS ROLLUPCUBE and managing Snowflake environments in production Multisource integration Proven ability to connect and ingest data from heterogeneous sources including relational databases REST APIs SaaS platforms and event streams ETL ELT design Experience designing normalized schemas and transformation pipelines that produce clean consumptionready data models starsnowflake schema dimensional modeling Python Strong proficiency in Python for data engineering tasks pipeline orchestration data transformation API clients and scripting automation AI agents within Snowflake Familiarity with Snowflake Cortex LLM functions and agentbased patterns for building intelligent datadriven workflows inside the Snowflake ecosystem Backend integration patterns Practical experience building backend services and integrations using Python REST APIs and related tooling authentication pagination error handling retry logic Additional skills PostgreSQL relational databases Working knowledge of PostgreSQL or equivalent RDBMS including query optimization indexing and schema design patterns Go Golang Experience building backend services or microservices in Go is a strong differentiator Cloud data infrastructure Familiarity with Azure or AWS data services eg Azure Data Factory Event Hubs S3 as source or orchestration layers Data observability testing Experience with data quality frameworks dbt tests or observability tooling Great Expectations Monte Carlo etc Youre a selfdirected engineer who thrives at the intersection of data engineering and platform thinking You can navigate ambiguous requirements design for scale and communicate clearly across engineering and product stakeholders You care about data quality documentation and building systems that other teams love to consume Other details Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. 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. #J-18808-Ljbffr