Qureos Mentor

Antons

Key Responsibilities 
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 Architect &amp; Design: Lead the design and implementation of Data Lakehouse architectures, including batch and real-time streaming pipelines using Delta Lake.
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 Cloud Data Platforms: Build and optimize scalable data engineering solutions leveraging Azure Data Factory, Databricks, ADLS, Azure Event Hub, PySpark/Scala/SQL.
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 Data Governance &amp; Cataloging: Drive the adoption and implementation of Unity Catalog, ensuring robust data lineage, governance, schema, and access control mechanisms.
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 Performance &amp; Cost Optimization: Review solutions and guide teams on performance tuning, cloud cost optimization, and architectural best practices.
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 Technical Leadership: Act as a trusted advisor to engineering teams, providing hands-on guidance in data engineering, analytics, and cloud-native design patterns.
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 Innovation &amp; Strategy: Evaluate new tools, frameworks, and approaches to continuously improve the enterprise data ecosystem.
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Solution Architect

Key Responsibilities 
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 Catalog Implementation: Lead the design, configuration, and implementation of Databricks Unity Catalog to support enterprise-wide data management and governance.
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 Governance &amp; Compliance: Ensure adherence to data governance frameworks and compliance standards.
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 Metadata &amp; Lineage: Establish robust metadata management, lineage tracking, classification, and business glossary practices.
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 Integration: Integrate the data catalog with ETL/ELT pipelines, BI tools, and data platforms to enable seamless data discovery and accessibility.
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 Tooling &amp; Platforms: Drive adoption of governance tools.
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 Best Practices: Define and enforce cataloging, metadata, and governance standards, promoting data ownership and stewardship across the organization.
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 Collaboration: Partner with engineering, analytics, and compliance teams to embed governance into data pipelines and business processes.
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 Key Skills &amp; Experience 
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 6+ years of experience in Data Management, Data Governance, or Metadata Management.
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 Mandatory: Hands-on experience with Databricks Unity Catalog.
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Strong knowledge of data governance frameworks.
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Expertise in metadata standards, data lineage, classification, and glossary management.
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Experience with ETL/ELT integration and connecting catalogs to BI tools.
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Familiarity with data governance platforms.
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Strong understanding of data privacy and compliance regulations.
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Excellent communication, stakeholder management, and leadership skills.
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Data Catalog Lead

Key Responsibilities 
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 ML Pipeline Engineering: Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.
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 Model Development: Develop and optimize ML models, particularly for healthcare predictive analytics.
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 Integration: Embed ML models into KPI-driven data processing and analytics workflows.
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 Model Lifecycle Management: Implement model monitoring, drift detection, retraining, and continuous improvement strategies.
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 Collaboration: Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.
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Senior Data Science Engineer

Key Responsibilities 
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 Requirement Discovery &amp; Solutioning: Drive requirement gathering, analysis, and functional design for healthcare data and analytics platforms.
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 Healthcare Analytics Use Cases: Define and enable solutions for Population Health, Quality of Care, Patient Engagement, and other key analytical initiatives.
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 Healthcare Data Models: Work with industry-standard healthcare data models to design and align KPIs for advanced analytics.
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 ML &amp; KPI Integration: Collaborate with data science and engineering teams to drive functional solutioning for ML model deployment and KPI-driven data processing.
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 Predictive Use Cases: Contribute to solutions for readmission prediction, chronic disease onset detection, utilization management, and other healthcare analytics scenarios.
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 Stakeholder Collaboration: Act as the domain expert bridging business, clinical, and technical teams to ensure successful solution delivery.
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</ul>
 Key Skills &amp; Experience 
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 8+ years of experience as a Healthcare SME with focus on data and analytics platforms.
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Strong expertise in Population Health, Quality of Care, and Patient Engagement use cases.
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Deep understanding of healthcare data models and KPI-driven solutioning.
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Familiarity with healthcare predictive analytics and ML integration.
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Strong knowledge of regulatory, compliance, and quality reporting requirements in healthcare.
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Excellent stakeholder engagement, communication, and documentation skills.
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 Why Join Us? 
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Shape transformative healthcare analytics solutions that improve patient outcomes.
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Work closely with cutting-edge data science and engineering teams.
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Opportunity to lead high-impact healthcare predictive analytics initiatives.
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Competitive salary, benefits, and career progression opportunities.
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Healthcare Domain Subject Matter Expert

Key Responsibilities
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Unity Catalog Implementation: Configure and manage Unity Catalog objects including metastores, catalogs, schemas, tables, views, and volumes in Databricks.</li>
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Access &amp; Security: Develop and automate RBAC/ABAC policies, data masking, and access controls for secure data usage.</li>
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Data Asset Onboarding: Onboard and register data assets from multiple sources with consistent metadata standards.</li>
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Lineage &amp; Integration: Build and maintain data lineage pipelines and ensure catalog integration with ETL/ELT processes.</li>
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Governance Tools: Collaborate on metadata and governance initiatives using tools like Microsoft Purview or equivalent.</li>
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Compliance: Support data privacy and compliance requirements including HIPAA, GDPR, and CCPA.</li>
</ul>
Key Skills &amp; Experience
<ul>
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4+ years of experience in data engineering, data governance, or metadata management.</li>
<li>Hands-on expertise with Databricks Unity Catalog.</li>
<li>Strong knowledge of RBAC/ABAC, access controls, and data masking techniques.</li>
<li>Experience integrating data catalogs with ETL/ELT pipelines.</li>
<li>Familiarity with data governance frameworks and tools such as Microsoft Purview.</li>
<li>Understanding of data privacy regulations (HIPAA, GDPR, CCPA).</li>
<li>Solid skills in SQL, Python, or PySpark for data engineering and automation.</li>
</ul>
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Data Catalog Engineer

Design and create 2D/3D assets, animations, and visual effects for web applications.
Collaborate with developers to seamlessly integrate visuals into websites and applications.
Optimize 3D assets for performance and cross-platform compatibility.
Develop engaging visual storytelling aligned with brand identity and user experience.
Stay updated with emerging design tools, 3D web technologies, and industry best practices.
Support marketing and product teams with multimedia content, as required.

Web Development Designer

Key Responsibilities
<ul>
 <li>Lead the design, development, and deployment of backend services and APIs using Java.</li>
 <li>Collaborate with product managers, architects, and frontend developers to deliver end-to-end solutions.</li>
 <li>Ensure system scalability, performance optimization, and reliability across distributed environments.</li>
 <li>Design and implement microservices-based architectures, following best practices.</li>
 <li>Oversee code quality, conduct reviews, and enforce development standards.</li>
 <li>Manage integrations with databases, third-party services, and internal systems.</li>
 <li>Apply best practices in security, performance tuning, and data management.</li>
 <li>Mentor junior engineers and contribute to knowledge sharing across the team.</li>
 <li>Stay updated with emerging technologies and recommend adoption where beneficial.</li>
</ul>
Requirements
<ul>
 <li>Bachelors or Masters degree in Computer Science, Engineering, or a related field.</li>
 <li>Minimum 6 years of experience in backend development with strong expertise in Java.</li>
 <li>Proven experience with frameworks such as Spring / Spring Boot.</li>
 <li>Solid understanding of microservices architecture and RESTful API development.</li>
 <li>Hands-on experience with databases (SQL and NoSQL).</li>
 <li>Familiarity with cloud platforms (AWS, Azure, or GCP).</li>
 <li>Proficiency in CI/CD pipelines, Git, and DevOps practices.</li>
 <li>Strong problem-solving, debugging, and optimization skills.</li>
 <li>Excellent communication and leadership abilities.</li>
</ul>

Principle Backend Developer

Join Antons and explore 10   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.