Junior | Operations Research Analyst

Job Description

Silverthorne Advisory Group is 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 client's cloud and 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.

• Secret clearance or higher required (can be sponsored).
• Strong SQL knowledge: Ability to write, troubleshoot, and modify complex SQL procedures and queries across a variety of datasets.
• Business Intelligence experience: Creating and updating applications, reports, dashboards, etc. Cognos Analytics, Qlik Sense, and Power BI especially are relevant to the role.
• Python and Coding experience: Hands-on experience with languages/technologies such as Python, Spark, Scala, JavaScript/JSON, and SQL.

• Databricks experience: Familiarity with Databricks, Amazon AWS/S3, Jupyter Notebooks will be helpful in the role.
• 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.
• Understanding of data modeling/visualization, database design principles, and data governance practices.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results.
• Teradata experience is a plus. Knowledge of Multiloads, BTEQs, and other assorted Teradata procedures will be helpful in the role.
• Extract, Transform, Load (ETL) experience: Experience with establishing and maintaining data load processes as well as manipulating and combining various data sources.