Job Description We are seeking a skilled Data Engineer to design and maintain efficient and stable data pipelines, supporting data governance initiatives. This role will focus on ensuring the stability, flexibility, quality, consistency, and security of data environments to meet strategic business objectives. Roles and Responsibilities . Design and implement enterprise-level data processing workflows, including data pipelines and data management systems. . Develop and maintain data governance tools and platforms to support continuous improvement and process automation. . Integrate external data sources, optimizing data processing costs and reducing data redundancy. . Execute technical solutions for data-related projects, ensuring alignment with business needs and regulatory requirements. . Assist in developing and enforcing data governance frameworks to enhance data quality and protect sensitive information, ensuring compliance with company policies and standards. . Participate in cross-departmental meetings, providing expert advice and resolving data processing challenges. Qualifications . At least 3 years of experience in data engineering, with prior involvement in data governance or large-scale data processing projects preferred. . Proficiency in developing data pipelines (ETL/ELT), improving data quality, and implementing system designs. . Experience collaborating on cross-departmental projects with effective communication and coordination skills. . Bachelor's or Master's degree in Computer Science, Information Management, or a related field. Technical Skills . Proficient in programming languages such as Python or C# for developing data processing applications. . Strong knowledge of SQL and NoSQL database management and optimization. . Familiarity with data processing and big data platforms, such as Spark, Kafka, Nifi, Airflow, SAP4Hana, or similar technologies.
