Senior DevOps / Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ITECS, is seeking the following. Apply via Dice today! Position: Senior DevOps / Data Engineer Work Location: Coopersburg, PA (Onsite) Type of Employment: Contract Experience Required: 12+ Years Start Date: Immediate Role Overview: We are seeking a hybrid DevOps + Data Engineering profile, with a stronger emphasis on DevOps capabilities. The role owner will be required to modify & manage ETL pipelines as part of platform operations. The role owner should have hands on DevOps experience along with good understanding of data pipelines. Key Result Areas and Activities • Modify and manage data pipelines in DevOps setup • Good understating of CI/CD pipelines • Development responsibilities • Software Asset Maintenance & Upgrades • Upgrade and maintain third-party components such as ingress controllers, service meshes, monitoring agents, infrastructure libraries, and cloud-native tools. • Apply the latest versions and security patches to ensure compliance, stability, and performance. • Infrastructure as Code (IaC) Enhancements • Update and enhance IaC scripts to support version upgrades across development, QA, and production environments. • Validate changes through sandbox testing before deployment to production. • Compatibility & Dependency Management • Ensure upgraded components remain compatible with dependent services and applications. • Identify and mitigate potential breaking changes or dependency conflicts. • Application Code Adjustments • Implement necessary code changes in supported languages (e.g., Python) to accommodate new versions or configuration requirements. • Address minor and moderate changes required for compatibility with upgraded components. • Update existing unit tests in response to the application code changes. • Security & Compliance • Apply immediate fixes for vulnerabilities. • Maintain adherence to organizational security and governance guidelines. • Testing & Validation • Create and execute test strategies for validating the upgrades. • Execute existing unit tests and manual test cases post-upgrade. • Conduct functional testing of impacted applications to ensure end-to-end stability. • Validate application behaviour after code changes and infrastructure updates. • Reporting & Governance • Provide weekly status reports detailing software versions, security posture, upgrade activities, and testing outcomes. • Participate in regular reviews and acceptance processes. Work And Technical Experience Must-Have Skill Set • Terraform • CI/CD Pipelines • Platform upgrades and maintenance • QA exposure integration & platform testing • Deep understanding of cloud data services (AWS) and migration strategies. • Strong proficiency in ETL/ELT pipelines and framework development using Python. Development may not be needed but understanding is required • Modifying & monitoring data pipelines for batch and real-time processing. • Exceptional communication skills for engaging executives and non-technical stakeholders. • Knowledge of containerization (Docker, Kubernetes) and orchestration for data workloads. Good-to-Have Skill Set • Certifications in cloud platforms (AWS) and data engineering. • Experience with advanced analytics and machine learning pipelines. • Prior consulting experience or leading large-scale data transformation programs. • Knowledge of data extraction from SAP OData Services. • Experience with multiple relational and NoSQL databases (Must have - Redshift, RDS and Athena). • Experience with BI tools integration with enterprise data platforms. Qualification: • Bachelor's degree in computer science, engineering, or related field (master's degree is a plus) • Demonstrated continued learning through one or more technical certifications or related methods • At least 12+ years of relevant experience; two years may be substituted for a master's degree Key expectations: • Please submit a maximum of 3 quality submissions per week. • Key Skills: strong hands-on experience with DevOps (Platform Upgrades, CI/CD Pipeline, IAC - Terraform) and Data Engineering (Managing ETL Pipelines, Python knowledge).