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.
This role is 100% remote but only open to candidates based in Latin America (LATAM). Applications outside this region will not be considered.
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.
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.
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.