We are seeking an experienced Data Engineer. The ideal candidate is self-motivated, a multitasker, and a demonstrated team player. You will be responsible for designing, developing, managing, and maintaining our open-source data platform, including our Data-Lakehouse (S3, Apache Iceberg, and ClickHouse), ETL processes, and orchestration tool (Temporal Workflow).
● Develop a scalable data platform integrating multiple sources for easy access.
● Design and enhance data tools (orchestration, governance, Data-Lakehouse, BI, etc.).
● Ensure smooth operation of data systems for analysts, scientists, and engineers.
● Optimize data pipelines (ingestion, processing, and output) in a microservices environment.
● Build, maintain, and monitor ETL/ELT processes and orchestrate workflows using Temporal.
● Troubleshoot and improve the performance, scalability, and reliability of the data infrastructure (S3, Apache Iceberg, ClickHouse).
● Collaborate cross-functionally with data scientists, analysts, and backend engineers to understand data needs and deliver solutions.
● Implement and champion data quality, governance, and security best practices across the platform.
● 3+ years of experience as a Data Engineer or in a similar data infrastructure role.
● Strong proficiency in SQL and hands-on experience with data modeling.
● Experience with data lake/lakehouse architectures (e.g., Apache Iceberg, S3, or similar).
● Experience with analytical / columnar databases (e.g., ClickHouse or similar).
● Experience building and orchestrating ETL/ELT pipelines (e.g., Temporal, Airflow, or similar).
● Strong programming skills in Python and/or Scala/Java.
● Experience working within a microservices architecture and cloud environments (AWS preferred).
● Self-motivated, strong multitasking skills, and a demonstrated team player.
● Excellent communication skills and the ability to work both independently and collaboratively.
● Hands-on experience with Apache Spark (or similar technologies) for large-scale data processing.
● Professional proficiency in written and spoken English.
● Note: this role is focused on batch data processing (not real-time streaming).
Nice to Have
● Experience working with and contributing to open-source data platforms and tools.
● Familiarity with BI and visualization tools (e.g., Superset, Looker, Tableau, Metabase, or similar).
● Experience with containerization and orchestration (Docker, Kubernetes).
● Experience with infrastructure-as-code and CI/CD practices.
● Experience with AWS EMR and running Apache Spark workloads in a cloud environment.
● Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to boost engineering productivity.
Onebeat empowers retailers to unlock the financial impact of dynamic, AI-driven inventory optimization and execution.
Built on the Theory of Constraints (TOC), Onebeat’s platform transforms inventory management from a complex challenge into a strategic advantage. Within 90 days, our AI-driven solutions deliver clear, daily SKU-level adjustments based on real-time demand, enabling retailers to increase sales, reduce waste, and boost margins across the entire product lifecycle. Unlike traditional, forecast-based systems, Onebeat’s approach continuously adapts and aligns stock with demand to ensure operational efficiency. Our platform ensures the right inventory is always in the right place at the right time, helping retailers capture more sales opportunities and maximize revenue. By leveraging proven algorithms and operational agility, Onebeat minimizes stockouts, overstock, and waste, ultimately creating a system of operational excellence and resilience.
