Data Engineer Apply
Dear Partner, Good Morning!
Greetings from SnapRecruit LLC. We do have urgent requirement for Data Engineer.
Job Summary：
Develop and administer the People Analytics data management and analytics platforms. This role manages workforce data management and infrastructure, provides communication support / training, and administers data standards and support for the entire People analytics team. This role provides subject matter expertise on key HR reporting tools and data infrastructure.
Responsibilities
- HR Data Management: Own all aspects of HR data, including acquisition, integration, transformation, quality, and governance.
- Data Infrastructure: Design and maintain a scalable HR data infrastructure, following best practices for modeling, warehousing, and architecture.
- Data Integration: Collaborate with HR, IT, and stakeholders to develop efficient data pipelines for extracting, transforming, and loading HR data.
- Data Transformation: Cleanse, normalize, and enrich HR data, ensuring accuracy and consistency. Implement data quality checks and validation processes.
- Data Governance: Establish and enforce data governance policies, ensuring compliance with privacy regulations and internal standards.
- Performance Optimization: Monitor and optimize performance of data infrastructure, pipelines, and transformation processes.
- Data Security: Implement robust security measures to protect HR data and comply with standards.
- Collaboration and Leadership: Collaborate with cross-functional teams, mentor junior engineers, and provide data engineering support.
Qualifications
- 3+ years working in analytics
- Proven experience as a Data Engineer, preferably in HR data management.
- Strong knowledge of data engineering, modeling, warehousing, and architecture.
- Proficiency in SQL and relational databases (e.g., MySQL, PostgreSQL).
- Experience with data integration tools and technologies.
- Programming skills in Python, Java, or relevant languages.
- Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Proven experience as a Data Engineer, preferably in HR data management.
- Bachelor's degree
Key Competencies
- Customer focus- The need to design solutions with a customer first perspective. The ability meet customers where they are, understand business needs and co-create solutions
- Attention to detail- A natural disposition to distrust all data. The need to quality check every number is critical given the importance of the information we own and the seniority of leaders information flows to
- Delivering Results- Ability to independently deliver results consistently with a focus on incremental value
