Senior Data Engineer

<p><strong>Sr. Data Engineer</strong><br>At Storable, we're on a mission to power the future of storage. Our innovative platform helps businesses manage, track, and grow their self-storage operations, and we’re looking for a Data Engineer to join our data-driven team. Storable is committed to leveraging cutting-edge technologies to improve the efficiency, accessibility, and insights derived from data, empowering our team to make smarter decisions and foster impactful growth. As a Data Engineer, you will play a pivotal role in shaping our data operations, ensuring that our data is organized, accessible, and effectively managed across the organization. You will work closely with cross-functional teams and drive the development of strategies to enhance data quality, availability, and security.</p> <p><br><strong>Key Responsibilities:</strong><br>● Oversee Data Pipelines: Design, implement, and maintain scalable data pipelines using industry-standard tools to efficiently process and manage large-scale datasets.<br>● Ensure Data Quality Governance: Implement data governance policies and frameworks to ensure data accuracy, consistency, and compliance across the organization.<br>● ETL Development: Build, optimize, and maintain ETL pipelines for ingesting, transforming, and delivering large datasets from multiple sources.<br>● Workflow Orchestration: Manage and schedule complex workflows using Apache Airflow.<br>● Query Engines Processing Frameworks: Leverage Trino (Presto), Apache Spark, and other<br>● Manage Cross-Functional Collaboration: Partner with engineering, product, and business teams to make data accessible and actionable, and ensure it drives informed decision-making.<br>● Optimize Data Infrastructure: Leverage modern data tools and platforms (e.g., AWS, Apache Airflow, Apache Iceberg) to create an efficient, reliable, and scalable data infrastructure.<br>● Monitor Improve Performance: Proactively monitor data processes and workflows, troubleshoot issues, and optimize performance to ensure high reliability and data integrity.</p> <p><br><strong>Qualifications:</strong><br>● Proven Expertise in Data Management: 6+ years of significant experience in managing data infrastructure, data governance, and optimizing data pipelines at scale.<br>● Technical Proficiency: 5+ years of strong hands-on experience with data tools and platforms such as Apache Airflow, Apache Iceberg, and AWS services (S3, Lambda, Redshift, Glue, Athena).<br>● Data Pipeline Mastery: Familiarity with designing, implementing, and optimizing data pipelines and workflows in Python or other languages for data processing.<br>● 5+ years of hands-on experience with Trino/Presto and Apache Spark for distributed data processing.</p> <p>● Solid understanding of data modeling, warehousing concepts, and schema design.</p> <p>● Experience with Data Governance: Solid understanding of data privacy, quality control, and governance best practices.<br>● Leadership Skills: Ability to lead and mentor teams, influence stakeholders, and drive data initiatives across the organization.<br>● Analytical Mindset: Strong problem-solving abilities and a data-driven approach to improve business operations.<br>● Excellent Communication: Ability to communicate complex data concepts to both technical and non-technical stakeholders effectively.<br>● Bonus Points: Experience with visualization tools (e.g., Looker, Tableau) and reporting frameworks to provide actionable insights.</p>