Data Engineer at Ovoko focused on maintaining, enhancing, and scaling the Data Platform. Collaborating with teams to support Analytics, Data Science, and ML Ops.
Responsibilities
Build & Maintain Scalable Data Pipelines within our Streaming Infrastructure. Design, develop, and optimize processes to ingest, transform, and deliver data from multiple sources.
Optimize data storage, processing, and retrieval. Improve efficiency and performance to meet increasing analytical and operational demands.
Ensure Data Quality & Reliability. Implement monitoring, testing, and alerting mechanisms to maintain data integrity, consistency, and accuracy.
Collaborate with Infrastructure and DevOps teams to scale our on-premises data architecture while ensuring the highest standards of data reliability and availability.
Support ML Ops & Data Science. Enabling model deployment, feature engineering, and monitoring.
Requirements
Solid understanding of hybrid data platform architectures, with practical experience working with modern cloud-based data platforms such as Snowflake or Databricks.
Knowledge of streaming and distributed processing (Apache Kafka, Flink, Spark).
Proficiency in Python.
Experience with containerization and/or orchestration tools (Docker, Kubernetes) for deploying scalable data pipelines.
Experience with data pipeline orchestration (e.g., Apache Airflow, Dagster).
Linux Administration Skills.
Familiarity with CI/CD pipelines for data workflows.
Benefits
Learning budget for your personal and professional growth;
Private health insurance;
Employee stock option plan;
Work from anywhere in the world for up to 30 days per year;
Close collaboration with ambitious colleagues & a real opportunity to shape the “big picture”;
Top-notch hardware and software (MacOS or Windows to choose from);
Flexible working hours & remote work opportunities;
Pet-friendly office with collaborative spaces, chill zones, our own gym & a kitchen full of snacks and drinks.
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