We are seeking a highly motivated and skilled Data Engineer to join our dynamic team at P&G Taiwan. In this role, you will be instrumental in designing, developing, and maintaining robust data pipelines and infrastructure to support our critical business operations and analytical initiatives. You will work with diverse data sets and technologies to ensure data quality, accessibility, and reliability.

Your Role Specialty Areas

In this role, the individual will

• Data Cleaning and Synchronization:
• Develop and implement data cleaning processes to ensure data integrity and accuracy.
• Design and maintain data pipelines to synchronize business data across various systems and platforms.
• Collaborate with stakeholders to identify data quality issues and establish solutions.
• Design and build ETL pipelines to extract, transform, and load data from SAP ERP systems (e.g., CDS Views, OData APIs, BAPIs).
• Data Flow Simplification:
• Analyze existing data flows and recommend simplifications to improve efficiency.
• Work with cross-functional teams to streamline data processes and enhance data accessibility.
• Implement best practices in data management and governance.
• Work closely with IT teams to access SAP data sources, independently explore table structures (e.g., MARA, EKPO, BKPF), and integrate business-critical data into the enterprise data warehouse
• Forecasting Optimization:
• Collaborate with planning and commercial teams to enhance forecasting models and processes.
• Utilize statistical methods and machine learning techniques to improve forecast accuracy.
• Monitor and analyze forecasting performance, providing insights and recommendations for continuous improvement.
• Documentation and Reporting:
• Create and maintain comprehensive documentation for data processes, models, and systems.
• Develop reports and dashboards to communicate findings and support data-driven decision-making.
  
  

Job Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field.
• 3+ years of experience in data engineering, ETL development, or a similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server, Oracle).
• Demonstrated experience with at least one scripting language (e.g., Python) for data manipulation and automation.
• Experience with cloud data platforms (e.g., AWS S3, Redshift, Glue; Azure Data Lake, Synapse; GCP BigQuery, Dataflow) is a plus.
• Familiarity with data warehousing concepts and data modeling techniques (e.g., star schema, snowflake schema).
• Understanding of data orchestration tools is a plus (e.g., Apache Airflow, Azure Data Factory).
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
• Ability to work independently and manage multiple priorities in a fast-paced environments.
  
  

What we offer you:

• You will have business responsibilities from Day 1 – You will start of meaningful work from the beginning. Over time, as you expand your impact on the business, your responsibility and ownership will also quick grow.
• You will receive continuous coaching & mentorship– We are passionate about our work. We will make sure you receive both formal training and as regular mentorship from your manager and others.
• You will work in a dynamic and respectful work environment – We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.
  
  

This is important to note:

P&G is an equal opportunity employer, we value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, disability, HIV/AIDS status, or any other legally protected factor.