The individual(s) selected for this position will:
- Develop dimensional and transactional calculated views in Databricks for data retrieved in near real-time from SAP ECC 6 instance.
- Evaluate source data systems for variances, anomalies, and efficiency and apply them for data quality checks in Databricks implementation.
- Knowledge of foundation data lake architecture used for business consumption in reports, AI modeling, analytics, etc.
- Create reusable data models and calculate views that scale across the enterprise.
- Optimize logical and metadata models.
- Performance tuning of long-running queries/procedures
- Collaborate with data owners and data scientists to understand relationships in enterprise source data.
Required Skills
- Strong understanding of SAP (HANA) data architecture (ideally in a Client implementation), and other business intelligence suites (Power BI, Informatica, Databricks Notebooks, etc.).
- Understanding of Attribute Based Access Control.
- Ability to analyze business needs and translate them into solution data models.
- Understand relational, dimensional, and columnar data models.
- Understand conceptual, physical, and logical data models.
- Experience with enterprise-scale data management platforms.
- Experience building queries in SAP using BW/4HANA Objects.
- Experience with reporting tools Microsoft PowerBI and Jupyter Notebooks.
- Experience with large data volume and performance tuning.
- Experience working in agile methodology.
- Experience in Smart Data Access and Smart Data Integration will be an added advantage.
- Exposure to Cloud tools/integration will be an added advantage.
Education Requirements
- Bachelor's degree in computer science, Information Systems, or a related field
Desired Skills
Candidates with professional certification(s) and experience working with SAP and Databricks integration are highly desired.
Soft Skills:
- Excellent written and verbal communication skills in English.
- Flexibility and ability to work as a self-starter and team player.
Location: Flexible
Type: Full-time