Data Engineer

• Build high performance data systems including databases, APIs, and data integration pipelines.
• Implement a metadata-driven architecture and infrastructure as code approach to automate and simplify the design, deployment, and management of data systems.
• Facilitate the adoption of data and software engineering best practices, including code review, testing, and continuous integration and delivery (CI/CD).
• Develop and establish a data governance framework.
• Continuous monitoring of process performance and implement improvements for efficiency including fine-tuning existing ETL processes, optimizing queries, or refactoring code.
• Assess and make optimal use of cloud platforms and technologies, especially Azure and Databricks to enhance system architecture.
• Implement data quality checks and build processes to identify and resolve data issues.
• Create and maintain documentation for data architecture, standards, and best practices.
• Contribute designs, code, tooling, testing, and operational support.
• Identify opportunities for process optimization and automation to enhance data operations efficiency.

• 7 plus years of experience working as a Data Engineer, Data Architect, Database Developer or similar roles.
• Bachelor's Degree in Computer Science, Data Science, Engineering or related field.
• 7+ years of experience in programming languages such as Python, Scala, Java, Rust or similar.
• 7+ years of experience in Oracle OLTP database design and development.
• 7+ years of experience in building ETL / ELT data pipelines using Apache Spark, Airflow, dbt or similar.
• 7 years of experience in developing APIs that include REST, SOAP, RPC, GraphQL or similar.
• 7 years of experience in OLAP / data warehouse design and development using dimensional (Kimball star-schema), data vault or Inmon methodologies.
• 5 years of experience in NoSQL database design and development preferably on MongoDB or similar.
• 5 years of experience working with message broker platforms like RabbitMQ, Apache Kafka, Red Hat AMQ or similar.
• 5 years of experience working with Azure or AWS cloud-native technologies / services.
• Working knowledge of CI/CD automation tools or services like Jenkins, Ansible, Chef, Puppet or similar.
• Working knowledge of containerized platform or services like Docker, Kubernetes or similar.

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