BW Replacement Off-Shore Analyst in India at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a BW Replacement Off-Shore Analyst based in India.
This role focuses on supporting a strategic data modernization initiative aimed at retiring legacy SAP BW and SAP Business Objects platforms. You will play a key part in assessing existing BW implementations and translating them into modern cloud-based architectures using Azure Databricks. The position requires strong analytical and technical capabilities to ensure a smooth migration of data workloads while maintaining performance, reliability, and business continuity. You will collaborate with technical and data engineering teams to design scalable solutions that align with cloud-first principles. This is a hands-on role where you will contribute directly to implementation efforts, bridging legacy systems with modern data platforms. The environment is transformation-driven, offering exposure to large-scale cloud migration projects and advanced analytics ecosystems.
- Analyze and assess the existing SAP BW and SAP Business Objects landscape to understand current data structures, workflows, and dependencies.
- Support the technical implementation of Azure Databricks as part of the enterprise data modernization and migration initiative.
- Contribute to the design and execution of data pipelines that enable migration from legacy BW systems to cloud-based solutions.
- Work closely with data engineers and architects to ensure seamless data transformation and integration.
- Assist in validating migrated data to ensure accuracy, consistency, and performance alignment with business requirements.
- Help enable the decommissioning of SAP BW and SAP Business Objects by ensuring all critical workloads are successfully transitioned.
Requirements:
- Experience in data engineering, data analytics, or related technical roles with exposure to SAP BW or SAP Business Objects environments.
- Hands-on experience or strong familiarity with Azure Databricks and cloud-based data processing.
- Understanding of data modeling, ETL/ELT processes, and large-scale data migration projects.
- Knowledge of SQL and scripting languages such as Python or similar.
- Ability to analyze complex legacy systems and translate them into modern cloud architectures.
- Strong problem-solving skills and attention to detail in data validation and migration tasks.
- Good communication skills and ability to work effectively in offshore and distributed teams.
Benefits:
- Competitive compensation package aligned with experience and skills.
- Opportunity to work on a high-impact enterprise data modernization program.
- Exposure to Azure cloud technologies and large-scale data transformation initiatives.
- Flexible work arrangements depending on project requirements.
- Professional growth through hands-on experience in modern data engineering practices.
- Collaborative and technically driven work environment.