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:

Proven 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.

Preferred Skills (Not Required):

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.

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