AWS Databricks Lead

Role Description AWS services and databrick Location Hartford CT onsite Proficient in leveraging Databricks features such as oDelta Lake oUnity Catalog oScalable data processing frameworks Strong understanding of AWS cloud services including oAmazon S3 oAWS Lambda oAmazon SNS oAWS Step Functions oAWS Glue Skilled in job cost optimization techniques to oMinimize runtimes oImprove system performance Experience with oPython core libraries oPySpark for data engineering tasks Good analytical and problemsolving skills with expertise in oSQL query development oStored procedures oCreating data marts and views in RDBMS Strong understanding of oETL concepts oEndtoend data pipeline architecture oData warehouse and reporting layers Familiarity with CICD pipelines and deployment tools such as oTerraform Experience with version control systems oGitHub or equivalent platforms Understanding of oAgile methodology oSoftware Development Life Cycle SDLC Excellent communication and presentation skills with the ability to collaborate effectively with stakeholders Roles Responsibilities Collaborate with business users and stakeholders to understand challenges and provide effective Databricksbased solutions Research and evaluate new Databricks features conduct Proof of Concepts POCs and develop best practice documentation Provide support for Sparkrelated issues and participate in code reviews offering recommendations for improvement Lead and mentor junior team members guiding them in development and troubleshooting activities Manage midsized teams and oversee delivery of work ensuring quality and timely completion Take ownership of assigned tasks and contribute effectively in an Agile environment Participate in solution design discussions and prepare designdocumentation artifacts based on requirements Drive job cost optimization and performance tuning initiatives to enhance system efficiency Support CICD processes and infrastructure automation to streamline deployments Actively participate in Agile ceremonies and contribute to continuous improvement of team collaboration and productivity 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, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid 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.