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Data Engineer – Senior
Company | Booz Allen |
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Location | Huntsville, AL, USA |
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Salary | $77500 – $176000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Expert or higher |
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Requirements
- Experience in programming clean, secure, and efficient Java using established coding principles for scripting, data analysis, automation, and potentially data warehousing
- Experience with ETL tools, such as Informatica
- Experience performing tuning on large datasets in Oracle databases to optimize performance
- Experience writing scripts to automate processes in the development workflow, such as building, deploying, or managing Java applications
- Experience with CI/CD practices to automate builds, testing, and deployments
- Experience writing PL or SQL scripts and stored procedures for data manipulation, parsing, and processing within Oracle databases
- Ability to work in a complex enterprise environment and determine the best solution required for business and customer needs
- Ability to manage tasks and projects independently with minimal guidance and direction
- Top Secret clearance
- Bachelor’s degree and 10+ years of experience as a data engineer in a large volume enterprise system or 14+ years of experience as a data engineer in a large volume enterprise system in lieu of a degree
Responsibilities
- Help build advanced technology solutions and implement data engineering activities on mission-driven projects
- 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 in a fast-paced, agile environment
- Manage the assessment, design, building, and maintenance of scalable platforms for clients
Preferred Qualifications
- Experience designing and creating data warehousing solutions
- Experience with DevOps tools and principles for collaboration and automation
- Experience working in various SDLC models such as Waterfall, Agile, Iterative, or Spiral
- Experience delivering solutions across all phases of the development lifecycle
- Knowledge of Informatica’s role in data warehousing and business intelligence
- Knowledge of the benefits and usage of stored procedures, especially for performance optimization and security
- Knowledge of Oracle database concepts, including partitioning for very large databases (VLDBs)
- TS/SCI clearance with a polygraph