Senior Data Engineer

Role Description Design develop and maintain scalable data pipelines for batch and realtime data processing Gather and analyze business and data requirements from customer stakeholders Build optimize and support ETLELT workflows using modern data engineering tools and frameworks Design and implement data models data marts and enterprise data warehouse solutions Develop data integration solutions for structured semistructured and unstructured data sources Collaborate with Business Intelligence Analytics Data Science and Application teams to deliver data solutions Ensure data quality integrity governance and security standards are maintained across data platforms Monitor troubleshoot and optimize data pipelines for performance reliability and scalability Support cloudbased data platforms and Lakehouse architectures using Azure AWS Databricks Snowflake or equivalent technologies Participate in release planning deployment activities and production support Drive automation and continuous improvement initiatives across data engineering processes Provide technical guidance to offshore teams and coordinate deliverables across global teams Prepare technical documentation data dictionaries architecture artifacts and operational runbooks Support incident management root cause analysis and resolution of production issues Technical Skills Expected SQL Python PySpark Spark SQL Databricks Delta Lake Lakehouse Architecture Azure Data Factory ADF Azure Synapse Microsoft Fabric Snowflake Informatica Hadoop Ecosystem AWS Data Services S3 Glue EMR CICD Git Azure DevOps Data Warehousing Data Modeling StarSnowflake Kafka and Streaming Frameworks preferred Other Details Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. 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 Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"): 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 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