Data Engineer

Data EngineerBuild scalable data pipelines, analytics solutions, and business intelligence platforms. Transform raw data into actionable insights and support data-driven decision-making. Collaborate with business stakeholders, product teams, engineering teams, and data consumers. Apply strong expertise in SQL, Python, data warehousing, dashboard development, and data visualization.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines. Develop and maintain ETL/ELT processes. Build 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. Create dashboards and BI reports to monitor business KPIs, operational health metrics, and executive reporting metrics. Collaborate with business users, product teams, and engineering teams to gather requirements. Deliver data solutions based on business requirements. Implement data quality controls, monitoring, and alerting mechanisms. Support data migration, integration, and modernization initiatives. 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.Required Technical SkillsData Engineering, Data Pipeline Development, ETL/ELT Processes, Data Integration, Data Modeling, Data Warehousing, Data Migration, Data Quality Management, Analytics Engineering. Programming & Querying: SQL, Presto SQL, SAS SQL, Python, MySQL. Cloud & Data Platforms: Snowflake, Large-scale Analytics Platforms, Data Storage and Processing Solutions. Business Intelligence & Reporting: Tableau, SAP BusinessObjects, Dashboard Development, KPI Reporting, Data Visualization, Executive Reporting. Tools & Methodologies: Jira, Asana, Agile/Scrum, Requirements Gathering, Stakeholder Management.Preferred QualificationsExperience supporting consumer technology, financial services, enterprise analytics environments. Experience with user-level telemetry, operational analytics, real-time monitoring dashboards, AI-driven analytics or automation solutions. Strong understanding of business intelligence and reporting best practices. Experience working with cross-functional business and engineering teams.EducationBachelor's degree in Information Technology, Computer Science, Information Systems, Engineering, or related field.