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Senior Data Engineer-Data Operations
| Company | Pacific Life |
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| Location | Newport Beach, CA, USA |
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| Salary | $134280 – $164120 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- Bachelor’s degree in Computer Science, Mathematics, Data Science or Statistics
- 5+ years of experience in design, development, and data management
- 5+ years of experience and proficiency in SQL, ETL, data transformation, and data operations tools (Snowflake, Redshift, Informatica, Matillion, DBT, Python, Control-M)
- 2+ years of experience with DevOps and CI/CD
- Effective communication & facilitation; both verbal and written
- Team-Oriented: Collaborating effectively with team and stakeholders
- Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions
Responsibilities
- Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an urgent and effective manner.
- Implementing automated workflows to streamline data collection, processing, and analysis.
- Monitoring data pipelines to detect and resolve issues promptly.
- Reducing manual intervention to minimize errors and increase efficiency.
- Promoting a culture of continuous improvement and agile methodologies.
- Demonstrate adaptability, initiative and inquisitiveness in issues resolution.
- Ensuring compliance with data governance policies and regulations.
- Skills in analyzing data to identify trends, patterns, and insights.
- Design, build, and maintain scalable data pipelines for data extraction, transformation, and loading.
- Proficiency in languages such as Python and PowerShell for data pipeline management.
- Strong knowledge of SQL for querying, optimizing and innovating databases and managing data.
Preferred Qualifications
- 2+ years of experience in Snowflake and Data Build Tool (DBT), and cloud services
- Experience with automation, optimization and innovation in data management and batch cycle environments
- Understanding of data catalogs, glossary, data quality, and effective data governance
- Financial services domain knowledge
- Data driven individual with ability to setup effective processes in your sphere of ownership
- Strong communication with the ability to translate business requirements into technical specification
