Data Engineer - SAP BW/4HANA

Job Description

Functional Area : Data Engineering / SAP BW/4HANA / Automation Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies