Data Engineering Manager
| Company | Govini |
|---|---|
| Location | Pittsburgh, PA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or equivalent experience
- 7+ years in a technical data engineering role
- 3+ years of people management
- Experience implementing streaming data pipelines
- Experience with various data modeling techniques, such as relational and dimensional
- Experience with AWS’ Aurora Postgres or MySQL
- Proficient in SQL, Stored Procedures, Functions
- Proficient in big data technologies such as Spark, Hadoop, Databricks, Kafka
- Requires strong analytical ability and attention to detail
Responsibilities
- Lead and manage a team of data engineers, fostering a collaborative and innovative environment.
- Provide guidance, mentorship, and support to team members, encouraging their professional growth and development.
- Coordinate with cross-functional teams to align data engineering efforts with broader organizational goals and user requirements.
- Develop and articulate a clear data engineering vision that aligns with the company’s strategic objectives.
- Drive the implementation of the data engineering vision, ensuring it is aligned with business priorities and timelines.
- Oversee the design and development of data pipelines, data models, and data architecture to support analytics and reporting needs.
- Collaborate with stakeholders to identify and prioritize data engineering projects and initiatives.
- Allocate resources efficiently and manage project timelines to deliver high-quality solutions on time and within budget.
- Stay up-to-date with the latest trends, tools, and technologies in the data engineering field.
- Evaluate and recommend new technologies that can improve data engineering processes and enhance overall efficiency.
- Develop and implement processes to ensure data quality is built into data pipelines from the outset.
Preferred Qualifications
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience working with Kubernetes
- Knowledge of design patterns in the Cloud and Building Well Architected Solutions
- Working knowledge with large (multiple terabytes) amounts of data