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Data Engineering Manager
2 months ago
We are seeking an experienced Data Engineering Manager to lead our team of data engineers in developing and managing data systems. As a key member of our organization, you will be responsible for strategic oversight of data integration, system development, and team management to ensure efficient and effective data solutions.
Key Responsibilities:- Develop and operate data management tools, monitoring data flows, data quality, data cleansing, and data processing.
- Lead strategic planning for key service development of our data lake core stack, including data ingestion, pipeline optimization, data transformation, and orchestration.
- Manage a team of data engineers, providing mentorship and career development.
- Collaborate with various stakeholders to align data engineering goals with organizational objectives.
- Create and document logical data integration strategies for data flows between disparate systems and the enterprise data warehouse/data lakes.
- Ensure data security and compliance with relevant data protection regulations.
- Drive innovation in data management and analytics solutions.
- Work in an Agile environment that focuses on collaboration and teamwork.
- Oversee the development and maintenance of data infrastructure.
- Monitor production job schedule and correct job failures in a timely manner.
- MS degree in Computer Science or a related field from an accredited institution.
- 7+ years of hands-on experience as a Data Engineer or similar role.
- 7+ years of strong experience building, running, and maintaining datalakes and warehouses in a cloud environment.
- Strong leadership skills with a track record of team development.
- More than 4 years of experience developing with Python.
- 4+ years of experience performing in production environments in a DevOps culture managing code composed of multi-developer teams, following industry best practices.
- 4+ years of SQL development experience.
- Experience with data modeling.
- 4+ years of bash scripting experience.
- Strong experience with Git, CI/CD (preferably GitLab), Docker, and Terraform.
- Experience deploying and running services in Cloud Big Data platforms such as BigQuery and Snowflake.
- Strong experience with GCP services.
- Experience designing and building data pipelines using tools like Apache Beam, CDAP (Data Fusion), or other ETLs.
- Knowledge with CDC design patterns and their challenges.
- Experience with DAG workflows orchestration such as Apache Airflow.
- Experience with NoSQL databases is a plus (i.e., Firestore, MongoDB).
- Experience designing and developing APIs is a plus (i.e., using FastAPI, Flask).
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.
