Data Engineer with SAP BW

Data Engineer with SAP BW Dallas, TX Fulltime
Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and data integration frameworks using Databricks, PySpark, and SQL.
• Collaborate with cross-functional teams (Data Architects, Analysts, and SAP teams) to design data models and ensure smooth data flow across systems.
• Extract and integrate data from SAP BW (Business Warehouse) and other enterprise systems into cloud data platforms for analytics and reporting.
• Build data ingestion pipelines to bring SAP and non-SAP data into data lakes or data warehouses (Snowflake, Delta Lake, etc.).
• Optimize performance of large-scale data processing workflows and ensure reliability, scalability, and governance.
• Support data modeling, transformation, and lineage tracking to ensure data consistency and quality.
• Automate and orchestrate data workflows using Airflow, ADF, or similar orchestration tools.
• Work closely with BI and analytics teams to enable self-service data access and reporting.
• Stay current with new tools, technologies, and best practices in modern data engineering and SAP data integration.

Required Skills and Qualifications:
Educational Background:

• Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
• Certifications in Databricks, Azure, or SAP BW are an added advantage.

Technical Skills:

• Strong experience with Python, PySpark, and SQL for data transformation and analytics.
• Hands-on experience with Databricks, Azure Data Factory, or equivalent cloud data engineering tools.
• Solid understanding of data warehousing concepts, data modeling, and performance tuning.
• Working experience or knowledge in SAP BW data extraction and integration (e.g., working with InfoProviders, DSOs, or Open Hubs).
• Experience connecting SAP BW data to cloud or non-SAP systems for analytics purposes.
• Familiarity with cloud platforms (Azure, AWS, or Google Cloud Platform) and modern data stack components.
• Experience with data orchestration/versioning tools like Airflow, Git, or Databricks Workflows.

Preferred Qualifications:

• 5+ years of experience in data engineering or data integration roles.
• 1 2 years of exposure to SAP BW environments and cross-system data extraction.
• Experience in data migration or modernization projects involving SAP and cloud data platforms.
• Strong problem-solving and collaboration skills in agile delivery environments.
• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift)
• Experience with data versioning and orchestration tools like Git, Airflow, or Dagster.
• Solid understanding of Big Data ecosystems (Hadoop, Hive, etc.).

Preferred Qualifications:
4+ years of relevant work experience in data engineering or software engineering equivalent. 2+ years of experience in implementing big data processing technology: AWS / Azure / Google Cloud Platform, Apache Spark, Python. Experience writing and optimizing SQL queries in a business environment with large-scale, complex datasets.