Data EngineerAerstone • Springfield, Virginia, United States
Data Engineer
Aerstone • Springfield, Virginia, United States
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job_description.job_card.job_descriptionProven experience with Microsoft SQL Server administration and development. Proficiency in ETL / ELT concepts and experience with tools like AWS Glue, Apache Spark, or equivalent. Solid understanding of Oracle database systems and data extraction methodologies (especially delta / change data capture techniques). Experience with cloud data platforms, particularly AWS (S3, Glue, RDS, etc.). Strong SQL skills and experience with role-based access control in database systems. Familiarity with scripting or programming languages (e.g., Python, Shell) for automation and data processing. Ability to work independently and communicate effectively in a collaborative team environment. Proficiency with Oracle GoldenGate or equivalent CDC (Change Data Capture) tools for real-time replication. Experience with modern data architectures (e.g., Data Vault 2.0). Knowledge of CI / CD practices for data engineering. Exposure to data cataloging and metadata management tools.
Position Overview :
We are seeking a skilled and motivated Data Engineer / Database Engineer to support our growing team providing an enterprise data warehouse and visualization environment. The ideal candidate will have hands-on experience with Microsoft SQL Server, ETL pipelines, and cloud-based data ingestion tools—especially AWS Glue. You will be responsible for maintaining and enhancing our database systems, enabling near real-time data pipelines from source databases (Oracle, SQL, etc) to Microsoft SQL Server, and ensuring secure, efficient, and scalable data access.
Key Responsibilities :
- Support and maintain Microsoft SQL Server environments, with flexibility to adapt to alternative database platforms as the architecture evolves.
- Design and implement data pipelines using AWS Glue for efficient and scalable data ingestion.
- Build and maintain a near real-time data ingestion framework from Oracle databases to Microsoft SQL Server.
- Develop and manage ETL processes, including incremental / delta-based extraction of raw data from source systems.
- Build and optimize relational database schemas, ensuring performance, scalability, and data integrity.
- Implement and manage fine-grained roles and permissions in SQL Server to enforce data security and access control policies.
- Work closely with Data Analysts, Software Engineers, and other stakeholders to ensure data systems meet business requirements.
- Monitor and troubleshoot data pipelines and workflows to ensure reliability and consistency.
Qualifications :
Preferred Skills (Not Required) :
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