Key skills
PythonSQLAIETLELTData EngineeringData WarehousingAnalyticsLookerBIBusiness IntelligenceBigQueryAirflowdbtFivetranTerraformcomposer
About this role
Andela is a leading talent marketplace that connects companies with top global technical talent. As a Data Engineer, you will build and maintain the data infrastructure that powers Andela's business intelligence and analytics capabilities, ensuring data is reliable and accessible for self-service analytics across the organization.
Responsibilities:
- 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
Requirements:
- 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