Salary
💰 $89,533 - $147,000 per year
Tech Stack
AWSAzureCloudETLPythonSQL
About the role
- Lead and implement mid to large-scale SAP data migration projects, including data extraction, transformation, cleansing, validation, and loading.
- Design and develop scalable and robust data architectures aligned to client and project requirements.
- Develop and maintain ETL processes using SAP BODS.
- Write and optimize complex SQL queries for data validation, troubleshooting, and performance tuning.
- Perform data profiling, cleansing, remediation, and quality monitoring to ensure accuracy and reliability.
- Collaborate with cross-functional teams (functional consultants, database architects, data analysts, developers, and scientists) to define data strategy and requirements.
- Optimize and tune data pipelines for performance, efficiency, and scalability.
- Manage and convert raw data into reliable and usable information for stakeholders.
- Ensure data compliance, governance, and security in all migration and integration activities.
- Support project teams during migration cycles, mock loads, and cutover activities.
- Stay current with emerging trends, tools, and technologies in data engineering and SAP migration.
- Contribute to project documentation (migration strategy, mapping specifications, test scripts) and communicate effectively with clients and stakeholders.
Requirements
- Bachelor’s degree in computer science, Data Analytics, Information Systems, or related field; or a minimum of 5 years equivalent professional experience in SAP Data Migration.
- Minimum 5 years of experience in SAP Data Conversion and Migration projects.
- Strong hands-on expertise with SAP BODS (mandatory skill).
- Proficiency in ETL/Reporting/Business Intelligence tools.
- Strong SQL skills, including writing and troubleshooting complex queries (multi-table joins, nested queries, subqueries).
- Knowledge of SAP data models, database relationships, and entity relationship models.
- Completed at least 3 full lifecycle SAP data migration projects.
- Experience in data validation, verification, and cleansing using various tools.
- Knowledge of cloud platforms (Azure, AWS, Google, SAP Cloud, etc.) (preferred).
- Familiarity with Salesforce, Ariba, or other cloud-based systems (preferred).
- Knowledge of Data Science, Python, AI/ML (preferred).
- Certification in Data Migration/ETL tools (preferred).
- Strong interpersonal, communication, and organizational skills.
- Ability to work independently while collaborating effectively within project teams.