785 - Data Engineer

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Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience.
• 3+ years working as a Data Engineer or in a similar technical role with a focus on building and maintaining data infrastructure and pipelines.
• Experience with AWS (Redshift, RDS) and Google Cloud (BigQuery, Firebase) for managing and working with cloud-based databases and analytics tools.
• Proficiency in at least one programming language (Python, C#, Java, etc.) to automate data pipeline workflows.
• Familiarity with data pipeline orchestration tools such as dbt and Airflow.
• Strong knowledge of data warehousing concepts and ELT/ETL best practices.
• Familiarity with source version control systems.
• Strong SQL knowledge.

Responsibilities:

• Enhance and maintain the infrastructure powering our analytics and data products.
• Ingest new data from files, APIs, and external databases into a centralized data store, ensuring seamless integration and data flow.
• Continuously monitor, optimize, and troubleshoot data pipelines and infrastructure for performance, scalability, and cost-effectiveness.
• Work closely with business stakeholders, including Analysts and Data Scientists, to understand data needs and translate business requirements into technical solutions.
• Implement and enforce data governance policies, ensuring adherence to best practices in data security, integrity, privacy, and regulatory compliance.
• Contribute to and drive efforts to ensure high data quality across the organization by identifying and resolving issues in data pipelines and workflows.
• Participate in technical architecture discussions, offering expertise in designing scalable, efficient data systems.
• Engage in peer code reviews to maintain high standards of code quality and best practices.