Senior/Mid Level Data Engineer - Active TS is required (ONSITE - 100%)

Job Description

We are seeking Data Engineers (Senior and Mid-Level) to support secure, mission-critical data environments within a classified cloud infrastructure.

The ideal candidates will have strong experience with ETL development, data migration, Java-based data pipelines, and relational/NoSQL databases (Oracle, PostgreSQL, MongoDB), along with exposure to AWS cloud services and Agile/Scrum methodologies.

Key Responsibilities

• Design, develop, and maintain ETL workflows to extract, transform, and load large-scale structured and unstructured datasets.
• Develop data migration solutions between legacy and modern systems using SQL, Java, and cloud-native tools.
• Implement data integration frameworks leveraging AWS services such as Glue, Lambda, S3, RDS, Redshift, and Kinesis.
• Develop automation scripts using Python, Shell, or Bash for deployment, data validation, and maintenance tasks.
• Maintain and enhance data pipelines for real-time and batch data processing.
• Support data quality, metadata management, and governance activities.
• Participate in Agile/Scrum sprints, contributing to design, code reviews, testing, and documentation.
• Troubleshoot and resolve data-related issues across on-premises and AWS environments.

Desired qualifications

• Bachelor’s degree in Computer Science, Engineering, or related technical field.
• 5+ (Mid) or 8+ (Senior) years of experience in data engineering or database development.
• Strong hands-on experience with ETL tools (e.g., Informatica, Talend, Pentaho, AWS Glue, or custom Java ETL frameworks).
• Proficiency in SQL and at least one major RDBMS (Oracle or PostgreSQL).
• Experience with data migration projects and data quality validation.
• Proficient in Java or Python for data processing and automation.
• Experience working with cloud technologies, preferably AWS (RDS, S3, Lambda, Redshift, Glue).
• Working knowledge of Linux/Unix environments and shell scripting.
• Experience in an Agile/Scrum development environment.
• Excellent problem-solving, analytical, and communication skills.