Data and AI Engineer

Sandisk; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Sandisk seeks a data/ML engineer to design and scale ETL pipelines ingesting from SAP S/4HANA, Oracle, Salesforce, and APIs into data lakes. You will build data products on Databricks and implement data quality and governance across the stack.

You will deploy ML models with Python/PySpark and contribute to GenAI initiatives, MLOps, and cloud workloads (Azure/AWS/GCP) with CI/CD practices.

Qualifications

• 4–6 years of professional experience in data engineering, ML engineering, or applied AI roles.
• Proven track record of delivering at least 2–3 production-grade data or AI projects end-to-end.
• Working in a global team ecosystem is a plus.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for SAP S/4HANA, Oracle, Salesforce, and APIs into data lakes/lakehouses.
• Develop and optimize data products (medallion architecture) on platforms like Databricks.
• Implement data quality, lineage, and governance controls using Purview, Alation, or Unity Catalog.
• Build, deploy, and monitor ML models using Python, PySpark, scikit-learn, TensorFlow, or PyTorch.
• Develop GenAI and LLM-powered solutions including RAG pipelines, embeddings, and vector databases.

Skills

Data engineering

ML engineering

Applied AI

Tools

Databricks

Purview

Alation

Unity Catalog

Job description

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to ingest structured and unstructured data from SAP S/4HANA, Oracle, Salesforce, and third-party APIs into enterprise data lakes/lakehouses.
• Develop and optimize data products (medallion architecture) on platforms like Databricks
• Implement data quality, lineage, and governance controls using tools such as Purview, Alation, or Unity Catalog.
• Build, deploy, and monitor ML models (classification, regression, forecasting, anomaly detection) using Python, PySpark, scikit-learn, TensorFlow, or PyTorch.
• Develop GenAI and LLM-powered solutions – including RAG (Retrieval-Augmented Generation) pipelines, embeddings, vector databases (Pinecone, Azure AI Search), and prompt engineering for Copilot/Azure OpenAI/Bedrock.
• Operationalize models through MLOps practices — CI/CD for ML, model versioning, drift monitoring, and automated retraining (MLflow, Azure ML, SageMaker, Vertex AI)
• Deploy and manage data/AI workloads on Azure, AWS, or GCP, leveraging services like ADF, Databricks, Glue, Lambda, Functions, and Kubernetes.

Qualifications

• 4–6 years of professional experience in data engineering, ML engineering, or applied AI roles.
• Proven track record of delivering at least 2–3 production-grade data or AI projects end-to-end
• Working in global team ecosystem is a plus

Preferred Qualifications

• Experience with enterprise ERP data (SAP S/4HANA, Oracle) and integration patterns (CDC, IDoc, OData, APIs).
• Exposure to supply chain, procurement, Logistics analytics use cases (spend, demand forecasting, supplier risk).
• Familiarity with Copilot Studio, or Agentic AI frameworks.

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 [e-mail] 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.