Sr. Azure Data Engineer

hace 3 días

Buenos Aires, Argentina Soft Dev Team A tiempo completo

**Key Responsibilities**:

- 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.
- 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.

**Essential Skills and Competencies**:
**Technical Skills**:

- SAP Expertise: Strong proficiency in SAP S/4HANA, BPC, BW/4HANA, and other relevant SAP modules.
- Data Management and Analytics: Experience with data migration, cleansing, and analysis using tools like SAP BW/4HANA, 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.

**Additional Qualifications (preferred)**:

- 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.

**Soft Skills**:

- 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.

**Experience Required**:

- 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.

**Why Join Us?**

Join our dynamic team and contribute to our ongoing transformation project. As an SAP-Azure Data Engineer, you will play a key role in building scalable, efficient, and secure data solutions, leveraging cutting-edge technologies to drive innovation and business growth.

**How to Apply**:
**Learn More About Us**:
Pay: $13,265.99 - $29,243.37 per month

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