Senior Data Engineer – Project up to 2 months

Description

Job Summary: A professional responsible for structuring, evolving, and maintaining the corporate Data Lake on AWS, ensuring data ingestion, transformation, and availability for analytical consumption in Power BI. Key Highlights: 1. Serve as a technical reference and ensure engineering best practices. 2. Design and maintain the AWS Data Lake architecture. 3. Develop ETL/ELT ingestion and transformation pipelines. A professional responsible for structuring, evolving, and maintaining the corporate Data Lake on AWS during a project of up to 2 months, ensuring data ingestion, transformation, and availability from the Raw layer through to the Gold layer, with a focus on analytical consumption in Power BI. **Key Responsibilities** * Design, evolve, and maintain the Data Lake architecture (Raw, Staging/Trusted, Refined/Silver, and Gold). * Develop ingestion and transformation (ETL/ELT) pipelines using AWS services (S3, Glue, Athena, Lambda, Step Functions, DMS). * Build and optimize analytical models for consumption in Power BI. * Ensure data quality, governance, security, and traceability. * Implement monitoring, alerting, and observability mechanisms. * Serve as a technical reference throughout the project, ensuring alignment with engineering best practices and standards. **Technical Requirements** * Solid experience in data engineering and Data Lake construction. * Proficiency in ETL/ELT and orchestration tools. * Strong knowledge of AWS (S3, Glue, Athena, IAM, Lambda, Step Functions). * Proficiency in Python and SQL. * Experience in data modeling for analytics and Power BI usage. * Delivery-oriented profile, with a practical, hands-on attitude. **Nice-to-Have** * Experience with DataOps, CI/CD, and regulated environments.