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Data Engineer - Direct-Hire
- Aurora, Colorado, United States
- Aurora, Colorado, United States
À propos
Business Intelligence Developer – Mid Level Seeking a skilled and highly motivated Data Engineer to join an exciting and growing opportunity within the Defense sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
Responsibilities
Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
Maintain documentation for software applications, workflows, and processes.
Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.
Requirements
Secret clearance is required
Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
High level of proficiency in ETL processes and hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Strong problem-solving skills and ability to solve complex data-related issues.
Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
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Compétences linguistiques
- English
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