Remote Data Engineer

Description:

• Evooq is seeking a talented Data Engineer to join their team and contribute to building their data platform.
• The position is 100% remote, following Singapore hours, and candidates must be in a similar timezone.
• Responsibilities include designing, developing, and maintaining ELT pipelines for data ingestion, processing, and storage.
• Tools used include Dagster for orchestration, Starburst Galaxy as a query engine, dbt for transformations, and Amazon S3 + Iceberg for an open data lakehouse.
• The Data Engineer will centralize data from diverse sources, collaborate with data science and analytics teams, ensure data quality, and optimize data management systems.
• Participation in the automation of data processes and CI/CD of data workflows is required.

Requirements:

• Hands-on experience developing data pipelines using modern data stack and data lakehouse.
• Proficiency in SQL and Python.
• Knowledge of open table formats like Apache Iceberg and file formats such as Parquet.
• Familiarity with relational and non-relational database management systems.
• Experience with dbt and cloud-based infrastructure, particularly AWS.
• Hands-on experience with object storage systems like S3.
• Understanding of data governance, data lineage, access, and security principles.
• Nice to have: Experience with Apache Spark, Hadoop, orchestration tools like Airflow, Trino-based query engines, data visualization tools, and DevOps practices.

Benefits:

• Opportunity to work remotely following Singapore hours.
• Chance to contribute to building a data platform using cutting-edge technologies.
• Collaborate with highly autonomous teams in a flat organizational structure.
• Work on solutions that combine data, technology, and investment expertise.
• Join a company that values trust, responsibility, and innovation.