Data Engineer

Data EngineerWe are seeking a skilled Data Engineer with experience in building scalable data pipelines, analytics solutions, and business intelligence platforms. The ideal candidate should have strong expertise in SQL, Python, data warehousing, dashboard development, and data visualization. The candidate will work closely with business stakeholders, product teams, and data consumers to transform raw data into actionable insights and support data-driven decision-making.Key Responsibilities:Design, develop, and maintain scalable data pipelines and ETL/ELT processes.Build and support analytics solutions that convert large volumes of operational and transactional data into meaningful business insights.Develop data models and optimize SQL queries for reporting and analytics needs.Create dashboards and BI reports to monitor business KPIs and operational health metrics.Collaborate with business users, product teams, and engineering teams to gather requirements and deliver data solutions.Implement data quality controls, monitoring, and alerting mechanisms to ensure accuracy and reliability.Support data migration, integration, and modernization initiatives across enterprise platforms.Participate in Agile ceremonies including sprint planning, backlog grooming, and stakeholder reviews.Analyze business data and provide recommendations to improve operational efficiency and business performance.AI/ML experience is good to have.Required Technical Skills:Data EngineeringData Pipeline DevelopmentETL/ELT ProcessesData IntegrationData ModelingData WarehousingData MigrationData Quality ManagementAnalytics EngineeringProgramming & Querying SQL, Presto SQL, SAS SQL, PythonMySQLCloud & Data Platforms: SnowflakeLarge-scale Analytics PlatformsData Storage and Processing SolutionsBusiness Intelligence & Reporting: Tableau, SAP Business ObjectsDashboard DevelopmentKPI ReportingData VisualizationExecutive ReportingTools & Methodologies: Jira, Asana, Agile/ScrumRequirements GatheringStakeholder ManagementPreferred Qualifications:Experience supporting consumer technology, financial services, or enterprise analytics environments.Experience working with user-level telemetry, operational analytics, and real-time monitoring dashboards.Experience with AI-driven analytics or automation solutions.Strong understanding of business intelligence and reporting best practices.Experience working with cross-functional business and engineering teams.Education: Bachelor's degree in information technology, Computer Science, Information Systems, Engineering, or a related field.Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.