Data and Analytics Engineer

We are seeking a hands-on Technical Data & Analytics Engineer to design, build, and operationalize analytics-ready data products, semantic models, and self-service BI solutions that enable data-driven decision-making across the enterprise. The ideal candidate bridges the gap between data engineering and business analytics — transforming raw data into curated, trusted, and performant datasets that power dashboards, KPIs, and advanced analytics use cases. This role partners closely with business stakeholders, data engineers, BI developers, and functional leaders across procurement, supply chain, finance, and operations.

• Design and build curated, analytics-ready data models (star/snowflake schemas, medallion architecture — bronze/silver/gold layers) on modern platforms like Databricks,

• Develop and maintain transformation pipelines using dbt (data build tool), SQL, and PySpark to convert raw enterprise data into trusted, business-friendly datasets.

• Partner with business teams to translate KPIs (e.g., spend analytics, supplier performance, demand forecast accuracy, working capital) into reusable, self-service datasets.

• Build, optimize, and govern enterprise dashboards and reports in Power BI, Tableau etc

• Design and maintain ELT pipelines to ingest data from SAP S/4HANA, Oracle, Salesforce, Workday, and third-party APIs into the enterprise data lake/warehouse.

• Champion data lineage, cataloging, and governance using tools like Collibra, Purview, Alation, or Unity Catalog

• Implement data quality checks, tests, and observability using dbt tests, Great Expectations, Monte Carlo

• 4–6 years of professional experience in analytics engineering, data engineering, or BI development roles.
• Proven track record of delivering at least 2–3 production analytics data products end-to-end.

• Bachelor's or Master's in Computer Science, Data Science, Information Systems, Engineering, Statistics, or a related field.

• Experience with enterprise ERP data (SAP S/4HANA, Oracle) and modeling for procurement, supply chain, or finance domains.

• Understanding of AI/ML fundamentals and how analytics datasets feed ML pipelines.

• Exposure to spend analytics, supplier scorecards, demand planning, or working capital analytics.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us.

We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.