DataOps Engineer at Eeze focusing on data pipeline stability across multiple products. Collaborating with IT teams to maintain quality, observability, and operational efficiency.
About the role
- Data Engineer at Booz Allen creating advanced technology solutions and managing data engineering activities for mission-driven projects. Collaborating with a multi-disciplinary team in a fast-paced environment.
Responsibilities
- Help build advanced technology solutions and implement data engineering activities
- Deploy and develop pipelines and platforms that organize and make disparate data meaningful
- Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
- Manage the assessment, design, building, and maintenance of scalable platforms for clients
Requirements
- 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
- 3+ years of experience with Python, SQL, Scala, or Java
- 3+ years of experience building scalable ETL / ELT workflows for reporting and analytics
- Experience creating solutions within a collaborative and cross-functional team environment
- Experience using version control tools such as GitLab, GitHub, or Bitbucket
- Ability to develop scripts and programs for converting various types of data into usable formats
- TS / SCI clearance
- HS diploma or GED
- Ability to obtain a Security+ Certification within 30 days of start date
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
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