Description
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This position offers the opportunity to work remotely while contributing to critical data management and integration efforts. The ideal candidate will have hands-on experience with customer master data in ECC6, and the ability to create, maintain, and manage data effectively.
Responsibilities:
Develop and maintain customer master data within ECC6, ensuring data accuracy and consistency.
Create new customer profiles and manage existing ones, maintaining high standards of data integrity.
Support the integration process by working with custom tables related to customer data.
Collaborate with cross-functional teams to ensure seamless data flow and effective data management.
Utilize tools such as Apache Spark, Python, and ETL processes to extract, transform, and load data efficiently.
Leverage Apache Hadoop for scalable data storage and processing solutions.
Implement Apache Kafka to enable real-time data streaming and integration.
Troubleshoot and resolve data-related issues, ensuring system reliability.
Provide documentation and training to stakeholders on data management processes.
Stay updated on industry best practices and emerging technologies to enhance data engineering workflows.
Requirements
Proven experience working with customer master data in ECC6.
Proficiency in Apache Spark for big data processing.
Strong skills in Python for scripting and automation tasks.
Hands-on experience with Apache Hadoop for data storage and processing.
Familiarity with Apache Kafka for real-time data streaming.
Expertise in ETL processes for data extraction, transformation, and loading.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration abilities in a remote work environment.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rhalfint
- Position Id: 01340-0013384933
- Posted 3 hours ago