Data Engineer II
Eleven Recruiting
Data Engineer II
Eleven Recruiting is seeking a Data Engineer II for one of our largest aerospace manufacturing clients located in Long Beach, CA. As a Data Engineer II, you will be responsible for developing and maintaining the technical components of our analytics data platform. This includes building scalable data pipelines, optimizing database storage and query retrieval, and collaborating with cross-functional teams to deliver data solutions that meet business requirements. You will work with modern data stack technologies and contribute to the overall data strategy of the organization.
Responsibilities:
- Client new data sources for ingestion via database connections, APIs, and message queues.
- Design, build, and maintain scalable and reliable data pipelines using Airbyte.
- Develop and optimize base data models in Redshift using dbt.
- Write efficient SQL queries to support analysis.
- Observe the data monitoring systems and quality checks, and respond to issues.
- Collaborate with analysts and other stakeholders to understand data requirements.
- Document data models systems and administrative processes.
- Our Data Stack: Airbyte, Argo, dbt, Redshift, PowerBI, Grafana.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- 2+ years of experience in data engineering or related field.
- Experience with cloud data warehouses, particularly Amazon Redshift.
- Experience with dbt for data transformation and modeling.
- Knowledge of workflow orchestration tools like Argo or alternatives (Airflow, Prefect, Dagster).
- Strong programming skills in Python and SQL.
- Experience with version control systems (Git).
- Understanding of data modeling concepts (dimensional modeling, star schema).
Preferred Qualifications:
- Familiarity with streaming data technologies is a plus.
- Experience with Kubernetes infrastructure as code (Terraform).
- Proficiency in data pipeline tools such as Airbyte or similar ELT/ETL tools.
- Experience with other cloud platforms (AWS, GCP, Azure).
- Experience with Knowledge of data governance and security practices.
- Experience with real-time data processing.
- Experience administering data visualization platforms like PowerBI.
Vacancy posted 15 hours ago
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