SAP BW

Job Description:

• Join a high impact data engineering team where you ll lead the design and modernization of enterprise analytics solutions by blending strong SAP BW expertise with scalable Databricks and PySpark capabilities
• In this role you ll work closely with business stakeholders architects and cross functional engineering teams to deliver trusted datasets performant pipelines and actionable insights
• You ll be empowered to shape technical direction mentor team members and drive best practices across development testing and deployment
• If you enjoy solving complex data challenges improving reliability and performance and enabling data driven decision making at scale this opportunity offers the right mix of leadership hands on engineering and collaborative ownership in a fast moving environment

Key Responsibilities:

• Key Responsibilities
• Lead end to end delivery of data engineering solutions leveraging Databricks and PySpark for scalable processing and transformation
• Design build and optimize batch near real time pipelines with strong focus on performance cost efficiency and reliability
• Collaborate with SAP BW stakeholders to understand source models data semantics and reporting needs translate them into modern data platform designs
• Develop reusable frameworks coding standards and best practices for Spark based development and notebook job orchestration
• Ensure data quality through validations reconciliation checks and robust error handling monitoring across pipelines
• Drive technical discussions estimate work plan sprints and manage delivery risks dependencies for the team
• Mentor engineers conduct code reviews and enforce secure maintainable and well documented implementations
• Partner with platform DevOps teams to support CI CD environment management and production readiness for Databricks workloads
• Minimum Qualifications
• Bachelor s or Master s degree BTECH MTECH MCA MSC in Computer Science Engineering or a related field
• 7 9 years of overall experience with strong hands on expertise in Databricks and PySpark for large scale data processing
• Strong experience working with SAP BW concepts and data structures to support analytics reporting requirements
• Solid understanding of data modeling ETL ELT patterns and performance tuning in distributed data processing environments
• Ability to lead technical delivery collaborate with stakeholders and communicate clearly across teams

Technical Requirements:

• Technology Business Intelligence Reporting SAP BW

Additional Responsibilities:

• Preferred Qualifications
• Experience modernizing or integrating SAP BW data with cloud based lakehouse architectures using Databricks
• Strong knowledge of Spark optimization techniques partitioning caching joins file sizing and production grade pipeline design
• Exposure to Delta Lake patterns ACID tables MERGE time travel and building curated layers for analytics consumption
• Experience with workflow orchestration and operational monitoring for data pipelines including alerting and SLA management
• Proven ability to guide teams through design reviews code quality improvements and delivery governance in agile environments

Preferred Skills: