Qureos Mentor

GeekSoft Consulting

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 Help design, build and continuously improve the clients online platform.
 
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 Research, suggest and implement new technology solutions following best practices/standards.
 
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 Take responsibility for the resiliency and availability of different products.
 
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 Be a productive member of the team.
 
 
 
 
 
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 </ul>
 Requirements
 
 
 
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 Strong experience as an Azure DevOps/CI/CD Infrastructure Engineer with expertise in designing, implementing, and optimizing cloud infrastructure and automated deployment pipelines on Microsoft Azure.
 
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 Hands-on experience designing and implementing CI/CD pipelines using Azure DevOps and GitHub Actions.
 
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 Experience automating build, test, and deployment workflows across multiple environments.
 
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 Strong expertise in managing Azure infrastructure, including Virtual Machines, App Services, AKS, Networking, Storage, and Databases.
 
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 Experience developing and managing Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep.
 
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 Hands-on experience integrating infrastructure with CI/CD pipelines and implementing automated deployment and rollback strategies.
 
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 Experience implementing monitoring and observability using Azure Monitor, Log Analytics, and Application Insights.
 
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 Strong understanding of Azure security, DevSecOps practices, Azure AD, RBAC, and cloud governance.
 
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 Experience collaborating with Development, Architecture, Platform, Operations, and Site Reliability Engineering (SRE) teams to deliver scalable and secure cloud solutions.
 
 
 
 
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 Benefits
 
 
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 A challenging, innovating environment.
 
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 Opportunities for learning where needed.
 
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 </ul>
</div>

Azure Infra Engineer

<div>
 <ul>
 <li>
 Help design, build and continuously improve the clients online platform.
 
 </li>
 <li>
 Research, suggest and implement new technology solutions following best practices/standards.
 
 </li>
 <li>
 Take responsibility for the resiliency and availability of different products.
 
 </li>
 <li>
 Be a productive member of the team.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Develop detailed test plans aligned with program requirements and objectives.
 
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 Coordinate testing activities across internal teams, vendors, and business stakeholders.
 
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 Ensure test environments, test data, and required tools are available and ready for execution.
 
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 Drive alignment between testing activities, program goals, and stakeholder expectations.
 
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 Serve as the primary point of contact for all testing-related activities.
 
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 Collaborate with Program Managers, Developers, Business Analysts, and business stakeholders to ensure effective communication and coordination.
 
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 Provide regular updates on testing progress, risks, issues, and mitigation actions.
 
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 Oversee test execution activities to ensure adherence to scope, timelines, and quality standards.
 
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 Monitor testing progress and manage defect tracking, resolution, and reporting.
 
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 Escalate critical issues and risks in a timely manner.
 
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 Facilitate daily stand-ups and status meetings throughout the testing lifecycle.
 
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 Ensure adequate test coverage and compliance with established testing methodologies and processes.'
 
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 Ensure comprehensive documentation of test plans, test cases, execution results, and defect reports.
 
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 Provide clear and timely reporting on testing status, defects, risks, and overall quality metrics.
 
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 Prepare test phase summaries and contribute to go/no-go decision-making processes.
 
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 Identify testing-related risks, dependencies, and potential impacts.
 
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 Develop and implement mitigation strategies to proactively address risks and ensure successful delivery.
 
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 Strong understanding of testing methodologies, quality assurance processes, and test lifecycle management.
 
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 Extensive experience managing Business Acceptance Testing (BAT) and System Integration Testing (SIT) phases.
 
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 Proven experience leading testing activities across multiple parallel projects or programs.
 
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 Strong stakeholder management, coordination, and communication skills.
 
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 Expertise in test planning, test execution, defect management, and test reporting.
 
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 Experience working with cross-functional teams in complex delivery environments.
 
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 Strong analytical, problem-solving, and decision-making abilities.
 
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 Experience with test management tools and testing best practices.
 
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 Knowledge of Agile and/or Waterfall delivery methodologies.
 
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 Hands-on experience with defect management tools such as Jira and Azure DevOps.
 
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 Experience working within large-scale and complex transformation programs.
 
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 Knowledge of test automation concepts and frameworks.
 
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 Experience working in regulated and complex financial services environments.
 
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 Knowledge of nCino and/or Salesforce platforms.
 
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 ISTQB Certification or equivalent testing certification.
 
 
 
 
 
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 </ul>
 Benefits
 
 
 <ul>
 <li>
 A challenging, innovating environment.
 
 </li>
 <li>
 Opportunities for learning where needed.
 
 
 
 </li>
 </ul>
</div>

Test Engineer

<div>
 <ul>
 <li>
 Help design, build and continuously improve the clients online platform.
 
 </li>
 <li>
 Research, suggest and implement new technology solutions following best practices/standards.
 
 </li>
 <li>
 Take responsibility for the resiliency and availability of different products.
 
 </li>
 <li>
 Be a productive member of the team.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Minimum 10 years of experience in Data Engineering.
 
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 Experienced Lead Data Engineer to design, develop, and implement modern cloud-native data platforms that enable analytics, artificial intelligence, and data-driven decision-making.
 
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 Work closely with architects, engineers, and business stakeholders to solve complex data challenges across diverse industries, including government, financial services, infrastructure, energy, and manufacturing.
 
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 As a technical leader, play a key role in defining data architecture standards, mentoring Data Engineers, and driving best practices within the Data &amp; Analytics team.
 
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 Design and implement scalable Data Lakes, Data Warehouses, and Lakehouse architectures.
 
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 Develop and maintain robust ETL/ELT pipelines for both batch and real-time data processing.
 
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 Design and optimize data models while ensuring data quality, governance, and consistency.
 
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 Build and support cloud-native data solutions on AWS.
 
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 Develop event-driven and serverless architectures to support modern data platforms.
 
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 Enable analytics, business intelligence, artificial intelligence, and machine learning initiatives through efficient data solutions.
 
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 Provide technical leadership, mentor Data Engineers, and contribute to architecture and design decisions.
 
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 Collaborate within Agile teams to deliver innovative and scalable client solutions.
 
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 Strong experience designing and implementing cloud-native data platforms.
 
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 Deep understanding of Data Engineering principles, ETL/ELT processes, Data Modeling, and Data Warehousing concepts.
 
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 AWS Cloud Technologies: Amazon S3, Amazon Redshift, AWS Glue, Amazon Athena, AWS Lambda, Amazon DynamoDB, Amazon ECS/Fargate, AWS Step Functions, Amazon SNS/SQS
 
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 Data Engineering &amp; Big Data Technologies: Apache Spark, Apache Kafka, SQL, Python
 
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 Relational databases such as PostgreSQL, Oracle, SQL Server, or equivalent.
 
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 NoSQL databases including MongoDB, DynamoDB, Cassandra, or similar platforms.
 
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 Engineering &amp; DevOps: Git version control, Docker, CI/CD pipelines, Infrastructure as Code (IaC), Agile/Scrum methodologies
 
 Databricks &amp; Modern Data Platforms: Databricks, Delta Lake, Unity Catalog, Lakehouse Architecture
 
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 Experience with Snowflake, Microsoft Fabric, or similar modern data platforms
 
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 Graph Technologies: Neo4j, Amazon Neptune, GraphDB, or similar graph databases, Graph Data Modeling, Graph Analytics, Knowledge Graphs, Data Lineage and Dependency Mapping
 
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 Additional Preferred Skills: Event-Driven Architecture, Microservices Architecture, Machine Learning and Advanced Analytics
 
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 Experience with Microsoft Azure Data Platform technologies
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Informatics, Data Science, Engineering, or a related field.
 
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 </ul>
 
 Certifications
 
 
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 AWS Certifications are highly valued.
 
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 Databricks Certifications are considered a strong advantage.
 
 
 
 
 
 
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 </ul>
 Benefits
 
 
 <ul>
 <li>
 A challenging, innovating environment.
 
 </li>
 <li>
 Opportunities for learning where needed.
 
 </li>
 </ul>
</div>

Lead Data Engineer - AWS, Databricks & Graph Technologies

Join GeekSoft Consulting and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

GeekSoft Consulting

About Company

Azure Infra Engineer

Test Engineer

Lead Data Engineer - AWS, Databricks & Graph Technologies