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BW Replacement Off-Shore Analyst in India at Jobgether

NewJob Function: General Business
Jobgether
India, India
Posted on
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Job Description

BW Replacement Off-Shore Analyst

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.

Accountabilities:
  • 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location

India, India

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