We are looking for talented Data Engineers, who will join our Data Team and help us build state-of-the-art data engineering capabilities powering the future of our car sharing platform.
BlueSG is the first point to point car sharing service in Singapore. We are optimistic about the future of car sharing and EV and have exciting growth plans in Singapore and beyond. BlueSG strongly believes in a data-driven approach to our business, actively using data to optimize our operations, make critical business decisions and understand what is best for our customers. Data team plays a critical role in this which you will be a part of.
Roles and Responsibilities
● Collaborate with DevOps and Business Intelligence teams to establish a common data processing and analytics platform and best practices.
● Work closely with data scientists and software engineers to support the analysis of data, and the development and validation of models.
● Design and implement data storage solutions to ensure data quality, availability, and scalability.
● Monitor the performance of the data infrastructure and implement optimizations to improve efficiency and reduce costs.
● Participate in technical discussions across the team through code reviews, RFC, or architecture review sessions.
Requirements
● At least 2 years of experience working as a data engineer or similar.
● Good understanding of Agile and DevOps practices: version control, CI/CD, Infrastructure-as-Code, containerization, observability/monitoring.
● Experience building data infrastructure to address the needs of business and data teams. Strong knowledge of data architecture, data modeling, and data warehousing.
● Deep familiarity with data processing systems such as Airflow, Dagster, Flyte, Spark, DBT, or similar and data cataloging tools such as Atlas, Amundsen, DataHub, or similar.
● Deep familiarity with SQL (PostgreSQL preferred) and NoSQL databases (Redis, Elasticsearch preferred).
● We use AWS, so familiarity with its data analytics services and databases, e.g., Redshift, Athena, Glue, EMR, etc. Also, familiarity with data platforms such as Sagemaker, Dataiku, Databricks, Datarobot, or similar.
● Experience with data visualization and reporting tools like Metabase, Tableau, PowerBI, or Looker.
Preferred Qualifications
● Hands-on experience supporting high-traffic consumer apps.
● Experience with real-time data processing using Kafka, Flink, or similar tools.
● Data science, MLOps, or related education or work experience.
