Analytics Engineer
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Key Responsibilities
Develop and maintain scalable data transformation pipelines using dbt. Optimize dbt project performance and execution times. Design and implement data quality controls, validation checks, and automated testing. Develop PySpark-based data transformation workflows. Support migration of legacy data processing solutions to modern data platforms. Implement CI/CD best practices for analytics engineering projects. Collaborate with data engineers, analysts, and business stakeholders to translate requirements into reliable data solutions. Create and maintain technical documentation. Key Skills dbt (Core) SQL PySpark Apache Spark Apache Iceberg Data Modeling Data Quality & Testing Git CI/CD Dagster (or similar orchestration tools) Education Bachelor's degree (EQF Level 6) or higher in Computer Science, Information Technology, Systems Engineering, or a related field. Nice to Have Experience with SAS ETL migration projects. Experience with modern Data Lakehouse architectures. Knowledge of Apache Iceberg internals and optimization techniques. Required skills Apache Spark Data Modeling PySpark SQL dbt Core Languages English (Proficient)
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