Data Engineer (Platform)

 Data Engineering;

• Design, build, and maintain scalable data pipelines for analytics, BI, and operational decision-making.

• Develop and optimize ETL/ELT processes to move data from IoT devices, APIs, and databases.

• Ensure data integrity, quality, and governance across different sources.

• Improve query performance and optimize data access for BI tools like Metabase.

• Support real-time and batch data processing using tools like Apache Kafka, Spark, or Flink.

Platform Engineering

• Design and manage the data platform infrastructure, ensuring scalability, reliability, and cost-effectiveness.

• Automate data pipeline orchestration using tools like Airflow, Dagster, or Prefect.

• Own and optimize data storage solutions, including data lakes (S3, Delta Lake) and data warehouses (BigQuery, Snowflake, MariaDB).

• Implement monitoring, logging, and alerting to track data pipeline health (Grafana, Prometheus).

• Optimize data workflows through DevOps and Infrastructure-as-Code (Terraform, Kubernetes, Docker).

• Enable self-service data tooling for analysts, engineers, and business teams

Desired

• Deep knowledge of data warehousing and ETL/ELT patterns.

• Hands-on experience with data pipeline orchestration tools (Airflow, Dagster, Prefect).

• Strong understanding of cloud platforms (AWS, GCP, Azure) and storage systems.

• Experience with Kubernetes, Terraform, and CI/CD pipelines for data workflows.

• Familiarity with streaming data technologies (Kafka, Pulsar, MQTT).

• Ability to work in a fast-moving, high-ownership environment with minimal supervision.

• Exposure to BI tools like Metabase, Looker, or Tableau.

Nice to have

• Experience with IoT data pipelines (InfluxDB, MQTT, TimescaleDB).

• Knowledge of data governance, access control, and security best practices.

• Background in monitoring and optimizing high-scale data platforms.

Zembo Electric Motorcycles SMC Ltd offers a fun, supportive work environment and opportunities for continued professional growth within a fast-growing global enterprise. It is an Equal Opportunity  and considers all applicants regardless of race, colour, religion, sex, marital status, sexual orientation, national origin, HIV/Aids, disability, or any other protected characteristic as established by law.