Data Engineer LATAM

Description

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).
What You Will Do

- 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.

Requirements

- 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.

Originally posted on Himalayas