Data Solutions LLC
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. Application Question(s): What is your expectation salary per year ? Experience: SAP BW 4HANA: 1 year (Preferred) ETL: 1 year (Preferred) AWS: 1 year (Preferred) Work Location: Remote
Data Solutions LLC
