Data Platform Engineers

About the Team

The Team consists of engineers responsible for developing and maintaining our enterprise data platforms, which support mission-critical service-to-service communication, analytics, and data governance. Our collaboration with developers and data owners ensures that we create platforms that provide significant value to our clients. We are dedicated to streamlining the deployment of microservices, analytics, and machine learning applications while adhering to strict internal policies regarding data governance.

Main Responsibilities

• Develop and implement Data Governance tooling.

• Streamline data quality control implementations for data owners.

• Provide visibility of data lineage, metadata, and quality to data consumers.

• Automate data lineage ingestion from various data technologies (Kafka, Databricks, Snowflake).

• Integrate data quality control outcomes with external systems for reporting and incident management.

Key Requirements

• Strong problem-solving abilities.

• Excellent attention to detail.

• Experience with enterprise services on Linux and/or Kubernetes.

• Familiarity with DevOps applications (Prometheus, Grafana, Elasticsearch, Azure DevOps, Terraform).

• Proficiency in software development with C# or Python.

Nice to Have

• Desire and willingness to acquire new skills in software development.

Other Details

This position offers an opportunity to be part of a dynamic team working in a rapidly evolving domain. Candidates should be adept at working in a collaborative environment and committed to high-quality deliverables.