SAP Expertise
- 7–10 years of hands-on SAP data experience spanning SAP BW/4HANA, SAP S/4HANA, SAP HANA, and SAP ECC environments across multiple project lifecycle phases.
- Strong, demonstrable understanding of SAP data extraction methods: ODP (Operational Data Provisioning), CDS Views, BAPIs, RFC function modules, and IDoc processing.
- Deep expertise in SAP BW/4HANA data modeling concepts: Advanced DSOs, InfoCubes, Composite Providers, Open ODS Views, and BEx query design.
- Experience integrating SAP systems with external platforms using SAP Landscape Transformation (SLT), ADF SAP Connector, GCP Lakehouse connectors, or comparable third-party integration tools.
- Working knowledge of SAP DataSphere, SAP Analytics Cloud (SAC), or SAP BTP is considered a strong advantage.
Databricks & Data Engineering
- Expert-level proficiency in the Databricks Platform: Delta Lake, Unity Catalog, Databricks Workflows, Delta Live Tables (DLT), Databricks SQL, MLflow, and Databricks Asset Bundles.
- Advanced PySpark and SQL skills for distributed, large-scale data transformation, aggregation, and processing across petabyte-scale datasets.
- Strong experience architecting and delivering Lakehouse solutions following the Medallion / Bronze–Silver–Gold design pattern.
- Proven track record in designing, optimizing, and orchestrating ETL/ELT pipelines in production environments with high availability and data quality requirements.
- Proficiency in Python and SQL; familiarity with Scala or Java for performance-critical Spark workloads is a plus.
- Hands-on experience implementing data governance frameworks: data lineage tracing, automated data quality validation, RBAC/ABAC access policies, and metadata management.
- Proven experience building and managing CI/CD pipelines for data engineering using Azure DevOps, GitHub Actions, and Databricks Asset Bundles.
Cloud & Infrastructure
- Proficiency in at least one major cloud platform: Azure (ADLS Gen2, Azure Data Factory, Azure Synapse Analytics), AWS (S3, AWS Glue, EMR, Redshift), or GCP (BigQuery, Google Cloud Storage).
- Familiarity with Infrastructure as Code (IaC) using Terraform or Azure ARM templates for repeatable, governed cloud environment provisioning.
- Solid understanding of cloud security principles: RBAC, managed identities, private endpoints, data encryption at rest and in transit, and compliance frameworks.
Pay: ₹1,244,528.73 - ₹2,541,206.28 per year
Work Location: Remote
