Job ResponsibilitiesManages software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsActively participate in and drive major ETL projects across the enterprise by managing pipelines, scripting, automating processes, enhancing cloud data platforms, and troubleshooting.Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesRequired Qualifications, Capabilities, And SkillsLead Analysis of data to drive ETL design on assigned projects.Development experience with PL/SQL databasesPerform root cause analysis for long running jobs and implement solutionsAgile SDLC Strong experience is strongly preferredETL integration with various APIs. Good understanding on API, JSON structure and Data parsingHands-on practical experience in system design, application development, testing, and operational stabilityExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesHands-on experience navigating AWS and/or Azure cloud platforms, including Redshift data warehouses, ETL pipelines, and data-driven tools.Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and SecurityDemonstrated knowledge of software applications and echnical processes within a technical discipline with Data Engineering spacePreferred Qualifications, Capabilities, And SkillsFamiliarity with modern front-end technologiesExposure to cloud technologies such as AWS, Google and Data#LI-MS1