Senior Data Engineer – SAP Integration

Job not on LinkedIn

🔥 9 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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📋 Description

• Lead the architecture, development, and implementation of advanced Data Engineering solutions, with strong expertise in Databricks and data integration from the SAP ecosystem • Build and optimize data pipelines • Implement Lakehouse architectures • Develop ETL/ELT processes • Ensure data quality, scalability, governance, and availability for analytical and strategic environments • Design, develop, and maintain data pipelines using Databricks, ensuring efficiency, scalability, and performance when processing large volumes of information • Develop data ingestion, transformation, and processing workflows using Apache Spark, PySpark, and SQL • Implement Lakehouse and Medallion architectures (Bronze, Silver, and Gold), structuring data flows from ingestion through availability for analytical consumption • Work with Delta Lake, Delta Tables, and advanced Databricks features for data storage, versioning, optimization, and management • Develop and optimize ETL/ELT processes, integrating multiple data sources, especially SAP systems • Extract, integrate, and transform data from SAP S/4HANA, SAP ECC, and other solutions within the SAP ecosystem • Implement SAP–Databricks integrations using APIs, OData, connectors, and data ingestion mechanisms • Develop batch and streaming data processing solutions • Implement best practices for data governance, quality, security, lineage, and monitoring, including Unity Catalog features • Optimize the performance of SQL queries, jobs, and workflows in the Databricks environment • Automate and orchestrate pipelines, ensuring process reliability and availability • Collaborate with Architecture, BI, Analytics, and business teams to build data-driven solutions

🎯 Requirements

• Strong experience in Data Engineering, working on architecture and large-scale data processing projects • Advanced, hands-on experience with Databricks, including the development, implementation, and optimization of data pipelines • Proficiency in Apache Spark, PySpark, and Spark SQL • Advanced knowledge of Delta Lake, Delta Tables, and Lakehouse architecture • Experience with Medallion architecture (Bronze, Silver, and Gold) • Knowledge of Databricks Workflows, Jobs, and orchestration features • Experience with Unity Catalog, governance, access control, and data lineage • Proficiency in SQL and Python applied to Data Engineering • Experience with ETL/ELT processes and the integration of multiple data sources • Knowledge of the SAP ecosystem, especially SAP S/4HANA and/or SAP ECC • Experience extracting and integrating SAP data through APIs, OData, RFC, IDoc, or other mechanisms • Knowledge of SAP Datasphere, SAP BW/4HANA, or SAP Data Services • Experience working in cloud environments, preferably AWS, Azure, or Google Cloud • Databricks Data Engineer Associate or Professional certification is a plus • Experience with Delta Live Tables/Lakeflow Declarative Pipelines is a plus • Knowledge of CI/CD, Git, and pipeline deployment automation is a plus • Experience with real-time data processing (streaming) is a plus • Knowledge of SAP BTP and SAP Integration Suite is a plus • Experience with modern data architectures and large-scale enterprise environments is a plus

🏖️ Benefits

• Remote position • This position is also open to people with disabilities

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