Data Engineer

Andela is transitioning from a world-class talent marketplace into a high-scale, AI-integrated Talent Cloud. As a Data Engineer you will build and maintain the data infrastructure that powers Andela's business intelligence and analytics capabilities. This role requires someone who thinks about data as a product, ensuring data is reliable, accessible, and structured to enable self-service analytics across the organization

Exceptional Leadership:

As an Andelan, you'll serve as a role model for the rest of the company. Think about the feedback your peers typically give you – if it usually sounds like the below, we want to hear from you.

• Design, build, and maintain scalable data pipelines and ETL processes that ensure data quality and reliability

• Manage data warehouse architecture and optimization for performance and cost-efficiency

• Implement data governance standards, security protocols, and monitoring systems

• Own data ingestion from multiple sources and ensure seamless integration into analytics platforms

• Build data models and semantic layers that enable business users to access insights independently

• Create and maintain data documentation, lineage, and data dictionaries

• Partner with BI Analysts to understand data needs and proactively improve data availability

• Implement automated data quality checks and alerting systems

• Utilize tools like Composer, Terraform, Airflow, Fivetran, dbt to build robust data infrastructure

• Optimize SQL queries and warehouse performance for analytical workloads

• Stay current with modern data engineering best practices and tools

• 3+ years experience in data engineering roles. Expert-level SQL skills and experience with data warehousing (BigQuery preferred)
• Proficiency with data pipeline tools (Airflow, Terraform, Fivetran, dbt, or similar)
• Strong proficiency in Python, with a focus on writing clean, maintainable code for data pipeline development, API integrations, and ETL/ELT processes.
• Proven ability to leverage AI-driven development tools to accelerate pipeline construction, automate documentation, and perform rapid root-cause analysis of data quality issues.
• Strong understanding of data modeling principles and dimensional design
• Experience with data governance, security, and quality frameworks
• Ability to translate business requirements into technical data solutions
• Experience with the Looker semantic layer (LookerML) to define business logic and create self-service reporting environments is highly desirable.
• Bachelor's degree in Computer Science, Engineering, or related technical field preferred

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