Data Engineering Team Lead
1 day ago
At Target, we're committed to empowering a data-driven approach to HR and people decisions.
The People Analytics & Insights team is responsible for delivering strategic insights and enabling data-driven decision making within our organization. We're looking for a skilled Data Engineering Team Lead to join our team and drive the development of innovative solutions that support our business goals.
About the Role:
As a Data Engineering Team Lead, you will be responsible for designing, building, and maintaining scalable data pipelines sourced from internal and external sources to support People Analytics & Insights data needs. You will work closely with cross-functional teams to ensure seamless integration and optimal performance of our data infrastructure.
Key Responsibilities:
- Lead the design and implementation of scalable data pipelines and workflows
- Partner with People Analytics functions to understand data requirements and deliver high-quality data solutions
- Implement and optimize ETL processes to transform and load data into a centralized data warehouse
- Identify and optimize data infrastructure to resolve performance issues and data quality problems
- Develop and maintain data models, schemas, and documentation
About You:
- Bachelor's degree in Computer Science or Information Science
- 8+ years' experience in HR data management, including 3+ years working with Workday data
- Strong knowledge of data management concepts and data quality
- Proficient in building data pipelines from APIs and external providers into Hadoop
- Stays current with new technologies through formal training and self-directed education
- Proficient in programming languages like Python and Scala, with expertise in SQL
Salary Range: $180,000 - $220,000 per year
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