Key Responsibilities:
Develop and manage ETL processes to extract, transform, and load data from SAP, Oracle, and other systems into data lakes, databases, or cloud platforms.
Collaborate with data teams to ensure data integrity and accuracy across multiple systems.
Implement and maintain automated workflows and scheduling processes to streamline ETL tasks.
Optimize data extraction methods to ensure performance efficiency and minimize system impact.
Collaborate with stakeholders to identify data needs and define requirements for integration.
Ensure adherence to data governance and compliance standards during data extraction and transformation.
Qualifications:
Proven experience in data extraction from SAP systems using tools like SAP Data Services, SAP BW ( Netweaver, or ABAP).
Expertise in ETL tools (e.g., Talend, Apache NiFi, Informatica) and automation techniques.
Strong knowledge of SQL and experience working with large-scale relational databases such as Oracle, PostgreSQL, or MySQL.
Experience with cloud environments such as AWS, Azure, or Google Cloud Platform for data storage and processing.
Familiarity with Oracle Data Integrator (ODI) or other Oracle-based ETL tools for data extraction and transformation.
Experience with data mapping, cleansing, and transformation techniques to support multi-system integrations.
Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and experience integrating them into ETL processes.
Strong understanding of data modeling and database design principles.
Ability to work with both on-premises and cloud-based systems.