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SMX is seeking a motivated and detail-oriented Data Analyst to join our team. This role focuses on creating and maintaining efficient data processing systems and pipelines to support strategic decision-making and business operations. The ideal candidate will work closely with cross-functional teams to deliver reliable and scalable back-end data solutions.
Job Responsibility:
Design, develop, and maintain data pipelines, integrating data from various sources to ensure reliable and efficient processing
Implement ETL (Extract, Transform, Load) processes using tools such as Apache Airflow, AWS Glue, Informatica, or similar technologies
Manage and optimize database operations, leveraging SQL and working with modern data warehousing platforms such as AWS Redshift
Collaborate with data analysts and other stakeholders to understand data requirements and translate them into robust back-end solutions
Create scalable and efficient data architectures, ensuring performance optimization and data integrity
Conduct thorough testing and validation of data processes to maintain high data quality and reliability
Troubleshoot and resolve data-related issues to ensure uninterrupted business operations
Document data processes, workflows, and solutions for knowledge sharing and team collaboration
Stay updated with emerging technologies and best practices in data engineering and development
Requirements:
3+ years of data analysis experience
Proficiency in SQL and a strong understanding of database systems
Experience with ETL and data orchestration tools such as Apache Airflow, AWS Glue, or Informatica
Familiarity with cloud platforms and services, particularly AWS
Knowledge of data warehousing and data integration techniques
Strong understanding of data processing and performance optimization
Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Business Analytics
An active Top-Secret clearance is mandatory
Nice to have:
Experience with federal data modernization or analytics programs