Data Engineer

• Design, build, and launch production-ready data models and data pipelines that scale effectively
• Implement enterprise-grade data governance frameworks and maintain data quality standards
• Develop and optimize data ingestion processes from various enterprise needs
• Create efficient data transformation workflows to prepare data for business intelligence ML-AI and Data Products.
• Partner with data scientists, product managers, and business stakeholders to understand and address data requirements
• Work closely with business application owners to ensure seamless automation and data management processes
• Participate actively in Agile ceremonies including daily standups, sprint planning, sprint reviews, and retrospectives
• Build strong relationships with stakeholders at all levels, from executive to operational teams
• Lead quality assurance efforts by defining testing strategies and identifying potential risks
• Ensure timely identification, tracking, and resolution of technical issues
• Build deep data expertise and take ownership of data quality for assigned business domains
• Align development efforts with the product roadmap when building tools and solutions
• Mature requirements gathering processes and follow Agile methodologies for data product development
• Proactively adapt to changing business requirements while maintaining solution integrity

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer

Senior Data Architect

Senior Data Engineer