foodsmart - Senior Data Engineer
Requirements
• 6+ years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects. • Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery). • Advanced SQL skills and strong experience with relational and columnar database systems. • Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi). • Solid programming background (Python, Scala, or Java) for data processing and automation. • Experience in backend development, with strong proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL • Experience designing data models and schemas for both operational and analytical use cases. • Strong analytical and problem-solving skills, thriving in fast-paced, high-growth environments. • Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains is a plus. • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (Master’s degree preferred).
Responsibilities
• Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders. • Architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning. • Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives. • Establish best practices for data quality, governance, security, and compliance; implement automated frameworks for cleaning, validation, correction, and enrichment. • Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards. • Mentor junior engineers, provide technical guidance, and influence broader data platform strategy. • A proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence. • Quality-oriented, with a strong sense of ownership over data reliability and accessibility. • Experienced in applying secure, compliant data handling practices in regulated environments. • Collaborative and skilled at bridging business needs with technical solutions, supporting stakeholders at all levels. • An expert in data warehouse architecture, dimensional modeling, and automated data engineering at scale.
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