Senior Specialist - Data Engineering

Data Engineer Qualifications Strong understanding of Data warehousing, Dimensional Modeling, ETL etc and RDBMS concepts Minimum 5 years working experience with Talend ETL tool Minimum 5 years working experience in SQL Stored Procedures and Table Design Minimum 5 years working experience in SQL Query optimization and ETL Data loading Performance Minimum 2 years working experience in Snowflake Cloud Data warehouse Experience as a Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc is a big plus Minimum 2 years working experience in shell scripting Experience in real time streaming technologies is preferred Experience deploying machine learning models and automating processes in production is a plus Experience with cloud technologies (AWS, Azure, GCP) is a big plus Responsibilities Design, develop and maintain secure, consistent and reliable ETL solutions supporting critical business processes across the various Business Units Ensure data solutions are compliant with enterprise security standards Work in complex multiplatform environments on multiple project assignments Develop and perform tests, validate data flows and prepare ETL processes to meet complex business requirements, including designing and implementing complex end‑to‑end solutions using BI platforms Coordinate with analysts and developers to ensure jobs designed and developed meet minimum support standards and best practices before migration into the production environment Partner with various infrastructure teams, application teams and architects to generate process designs and complex transformations to various data elements to provide the business with insights into their business processes Use strategies such as indexing and partitioning to fine‑tune the data warehouse and big data environments to improve query response time and scalability Define and capture metadata and rules associated with ETL processes Assist production support team in providing resolutions to production job failures, data issues and performance tuning ETL Development and Process Support may require weekend or off‑business hours work. 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. 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 LTM