Company: Gainwell Technologies
Location: Evening Shift with US Time Zone Overlap
Job Overview:
As an Azure Data Engineer at Gainwell Technologies, you will play a key role in managing and optimizing the organization’s Azure cloud infrastructure with a strong focus on security protocols, governance, and efficiency. This position requires a proactive approach to assessing, auditing, and enhancing the Azure environment, enabling seamless data integration and transformation. Your contributions will support Gainwell Technologies’ mission to drive effective cloud transformation and maintain a robust data ecosystem.
Key Responsibilities:
- Azure Architecture Review and Optimization: Conduct in-depth reviews of Azure infrastructure architecture, assessing security protocols, compliance, and performance metrics. Identify opportunities for improvements and optimizations that enhance the overall efficiency and security of the cloud environment.
- Unified Cloud Strategy: Collaborate in developing a unified strategy for Azure cloud transformation, covering critical areas such as governance, automation, security, and operational efficiencies. Support the establishment of best practices and guidelines for cloud management.
- CI/CD Management and DevOps Integration: Utilize Azure DevOps to manage continuous integration and continuous deployment (CI/CD) processes, including setting up pipelines, tracking performance, and ensuring the seamless delivery of cloud solutions.
- Data Pipeline Documentation and Management: Maintain comprehensive documentation for all data pipelines, operational procedures, and data transformation tasks. Ensure the data infrastructure is updated monthly and remains aligned with organizational standards and best practices.
- ETL Process Automation: Work extensively with data integration patterns and ETL processes, enabling the smooth transfer and transformation of data across platforms to support data-driven decision-making.
- Log Analysis and System Health Monitoring: Leverage Azure Log Analytics to analyze logs from various Azure resources, providing detailed insights into system performance and health.
Additional Responsibilities:
- Monthly Refresh Plans: Support the implementation and execution of monthly refresh plans to keep the data infrastructure aligned with the latest updates and organizational needs.
- Cross-functional Collaboration: Actively participate in cross-functional team discussions, sharing insights on data structure, troubleshooting, and pipeline execution for effective collaboration.
- Security and Compliance Oversight: Continuously ensure that security protocols are implemented and adhered to across all cloud environments, safeguarding data integrity and confidentiality.
What We’re Looking For:
Educational Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
Technical Skills and Experience:
- Certifications: Azure Data Engineer Associate or equivalent certifications are highly preferred.
- Azure DevOps Expertise: Strong experience with Azure DevOps, including pipeline setup, CI/CD management, and tracking for optimized cloud processes.
- Proficiency in Power BI: Proficient in creating dashboards, data visualizations, and reports using Power BI to support data-driven decisions.
- Data Integration Tools: Proven experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database to manage and manipulate large datasets.
- ETL Processes: Strong grasp of ETL (Extract, Transform, Load) practices and data integration patterns for seamless data flows.
- Log Analytics Knowledge: Familiarity with Azure Log Analytics for monitoring logs across Azure resources, enabling efficient performance and system health tracking.
- Azure Infrastructure Knowledge: Solid understanding of Azure environments, infrastructure, and resource management practices for effective cloud operation.
Soft Skills:
- Communication Skills: Excellent verbal and written communication skills for collaborating with cross-functional teams and effectively conveying technical details to business stakeholders.
- Detail-oriented: Strong attention to detail and a proactive approach in identifying potential issues early and ensuring they are addressed in a timely manner.
- Self-motivated and Organized: Ability to work independently, efficiently manage multiple priorities, and meet project timelines.
Other Requirements:
- Availability for Evening Shift: Willingness to work in an evening shift to enable maximum overlap with US teams, ensuring streamlined communication and project alignment.
- Precision in Monitoring: An analytical mindset and keen eye for monitoring, troubleshooting, and ensuring efficient pipeline execution.
Why Join Gainwell Technologies?
Gainwell Technologies offers an engaging environment where you can contribute to meaningful Azure cloud transformation projects while working alongside a diverse and talented team. As an Azure Data Engineer, you will have the opportunity to shape a secure, efficient, and reliable data ecosystem, supported by industry-leading tools and practices. Joining our team means contributing to projects that drive innovation and growth within cloud data management, while building a career path in a forward-thinking company.
How to Apply
If you are passionate about Azure cloud technology, data engineering, and security-focused cloud strategies, Gainwell Technologies welcomes your application. Apply through our career portal, and take the next step in advancing your career in data engineering with a company dedicated to fostering technological excellence.
- Communication Skills: Excellent verbal and written communication skills for collaborating with cross-functional teams and effectively conveying technical details to business stakeholders.
- Detail-oriented: Strong attention to detail and a proactive approach in identifying potential issues early and ensuring they are addressed in a timely manner.
- Self-motivated and Organized: Ability to work independently, efficiently manage multiple priorities, and meet project timelines.
Other Requirements:
- Availability for Evening Shift: Willingness to work in an evening shift to enable maximum overlap with US teams, ensuring streamlined communication and project alignment.
- Precision in Monitoring: An analytical mindset and keen eye for monitoring, troubleshooting, and ensuring efficient pipeline execution.
Why Join Gainwell Technologies?
Gainwell Technologies offers an engaging environment where you can contribute to meaningful Azure cloud transformation projects while working alongside a diverse and talented team. As an Azure Data Engineer, you will have the opportunity to shape a secure, efficient, and reliable data ecosystem, supported by industry-leading tools and practices. Joining our team means contributing to projects that drive innovation and growth within cloud data management, while building a career path in a forward-thinking company.
How to Apply
If you are passionate about Azure cloud technology, data engineering, and security-focused cloud strategies, Gainwell Technologies welcomes your application. Apply through our career portal, and take the next step in advancing your career in data engineering with a company dedicated to fostering technological excellence.
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