Job Role - Azure Data Engineer
Experience - 4+ years
Location - Remote
Job Summary :
We are seeking a highly skilled SQL & Azure Data Engineer to join our dynamic team. The ideal candidate will play a critical role in building, enhancing, and supporting business data models and information objects, with a primary focus on SQL and Azure data engineering platforms. The individual will work closely with cross-functional teams to ensure efficient data flow, troubleshooting, and process optimization.
Key Responsibilities :
- Information Model Development : Build and enhance Information Model (IM) objects such as Purchase Orders (PO), Invoices, and Vendor Data based on functional designs.
- Data Load Support : Assist in daily data loads from SAP/Non-SAP systems into the Information Model, ensuring smooth and efficient processes.
- Troubleshooting : Identify and fix code issues to maintain operational integrity.
- Technical Validation : Conduct both technical and functional validation of the data objects to ensure they meet business requirements.
Required Skills :
- SQL Expertise : Proven experience in building and managing complex SQL queries.
- Data Modeling : Strong understanding of data structures, common algorithms, and end-to-end data flows from ingestion to exploitation.
- Azure Experience :
- Azure Databricks , Azure Data Lake Storage , and Azure Data Factory expertise, particularly in pipeline orchestration.
- Familiarity with the Azure Data Engineering Platform and its processes.
- Python Knowledge : Basic knowledge is preferred but not mandatory. Experience using Python for data analytics is an added advantage.
- API Ingestion : Not needed for this specific role but relevant for certain teams.
Desired Skills :
- SAP Data Experience : Knowledge of SAP data handling and integration will be a plus.
- Databricks Experience : Practical exposure to working with Databricks platforms.
- Experience in developing business data products and models for organizations.