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.