SAP Data Engineer; Azure | Remote LATAM

Overview

We are looking for an experienced SAP-Azure Data Engineer to join our team. The ideal candidate will have a strong background in SAP systems, data engineering, cloud computing, and advanced analytics. This role focuses on leveraging Azure Synapse Analytics, Databricks, and other cloud-native technologies to develop scalable and efficient data solutions for business intelligence and advanced analytics.

• Design, develop, and maintain data engineering pipelines using Azure Synapse Analytics and Databricks to support data warehousing and advanced analytics.
• Develop interactive and informative dashboards and reports using Power BI for business decision-making.
• Implement data integration, data modeling, and ETL/ELT processes, ensuring data quality and consistency across platforms.
• Migrate and integrate data from SAP systems (SAP ECC, BPC, APO, SAP BI) to cloud-based environments and analytical tools.
• Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions for business needs.
• Apply machine learning frameworks and tools for predictive analytics and data science projects.
• Ensure data governance, security, and compliance best practices are followed throughout all data processes.
• Manage and optimize data lake and data warehousing solutions to support efficient data processing and storage.

Technical

Skills:

• SAP Expertise:
  Strong proficiency in SAP S/4
  
  HANA, BPC, BW/4
  
  HANA, and other relevant SAP modules.
• Data Management and Analytics:
  
  Experience with data migration, cleansing, and analysis using tools like SAP BW/4
  
  HANA, SAP Analytics Cloud, or similar.
• Integration
  
  Skills:
  
  Understanding of integration technologies (e.g., APIs, middleware) to connect different systems within the SAP landscape.
• Cloud Computing:
  Expertise in cloud platforms (especially Azure), including Azure Synapse Analytics, Azure Data Factory, and Databricks.
• Programming and Scripting:
  Proficiency in programming languages like Python, Scala, SQL, ABAP, or R for customization and automation.
• Data Engineering:
  Experience with ETL processes, data warehousing, and data lake concepts.
• Advanced Analytics:
  Knowledge of machine learning frameworks and data science techniques.

Functional

Skills:

• Business Process Understanding:
  Strong knowledge of finance, supply chain, and other relevant business processes within an organization.
• Project Management:
  Experience managing complex IT projects, including planning, execution, and risk management.
• Change Management:
  Ability to lead organizational change and drive user adoption of new systems.
• Problem-Solving and Analytical
  
  Skills:
  
  Strong problem-solving and analytical abilities to identify and resolve technical and business challenges.
• Communication and
  
  Collaboration:
  
  Excellent communication skills (English C1 required) to work effectively with cross-functional teams and stakeholders.

• Certifications in Azure Synapse Analytics, Databricks, or related technologies.
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Knowledge of cloud-native data processing frameworks (e.g., Apache Hadoop, Apache Kafka).
• Experience with data science and machine learning techniques.

• Adaptability:
  Ability to adapt to changing requirements and technologies.
• Attention to Detail:
  Meticulous attention to detail to ensure data accuracy and system reliability.
• Initiative:
  Self-motivated and proactive approach to problem-solving.
• Teamwork:
  Ability to work effectively as part of a team and contribute to a positive work environment.

• 5+ years of experience in data engineering, SAP systems, and cloud-based data solutions.
• Proven experience in Azure Synapse Analytics, Databricks, SAP ECC, BPC, APO, and SAP BI integration.