Sr. DevOps Data Engineer

 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:
1. DevOps requirements
· Modify and manage data pipelines in DevOps setup
· Good understating of CI/CD pipelines
2. Development responsibilities
I. 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.
II. 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.
III. Compatibility & Dependency Management
· Ensure upgraded components remain compatible with dependent services and applications.
· Identify and mitigate potential breaking changes or dependency conflicts.
IV. 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.
V. Security & Compliance
· Apply immediate fixes for vulnerabilities.
· Maintain adherence to organizational security and governance guidelines.
VI. 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.
VII. 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 9 years of relevant experience; two years may be substituted for a master’s degree

Salary : $120,000 - $140,000