Qureos Mentor

Workforce Next Pvt Ltd.

Role: GCP Data Engineer Location: Remote Duration: 12 Months Experience Required: 5+ Years Budget: 1,20,000 - 1,30,000 LPAAbout the RoleWe are looking for a highly skilled GCP Data Engineer with expertise in GCP DataProc, BigQuery, PySpark, Python, and SQL to work on international client projects. The ideal candidate should be able to design and optimize large-scale data pipelines, manage complex transformations, and ensure seamless data integration. This role requires strong technical expertise, problem-solving ability, and fluency in English to collaborate effectively with global teams.Key Responsibilities<ul><li>Design, build, and optimize data pipelines and ETL workflows on Google Cloud Platform (GCP).</li><li>Work extensively with GCP DataProc and BigQuery for scalable data storage, transformation, and analytics.</li><li>Develop, test, and maintain PySpark-based data processing solutions.</li><li>Write efficient SQL queries and Python scripts to support data engineering tasks.</li><li>Ensure data quality, reliability, and performance tuning across data workflows.</li><li>Collaborate with cross-functional teams across international time zones to deliver end-to-end solutions.</li><li>Adhere to data governance, compliance, and client security standards.</li></ul>Required Skills &amp; Experience<ul><li>5&ndash;6 years of proven experience as a Data Engineer.</li><li>Strong hands-on expertise in GCP DataProc and BigQuery.</li><li>Proficiency in PySpark, Python, and SQL.</li><li>Experience working with large-scale distributed data systems.</li><li>Strong problem-solving and debugging skills for complex data issues.</li><li>English fluency (verbal &amp; written) to work in an international environment.</li></ul>Additional Notes<ul><li>Background Verification (BGV) is mandatory, including:</li><li>Employment Check</li><li>PCC &ndash; Police Clearance Certificate (Criminal Record Check)</li><li>Dual employment is strictly not allowed. If applicable, it must be terminated immediately.</li><li>Candidate must be an In-house Bench Resource of the vendor.</li></ul>Why Join This Role?<ul><li>Work remotely on long-term international projects (12 months).</li><li>Opportunity to collaborate with global teams and cutting-edge GCP technologies.</li><li>Competitive hourly compensation based on expertise.</li><li>Exposure to scalable data engineering and advanced cloud solutions.</li></ul>Job Type: Contractual / Temporary Contract length: 12 monthsPay: &#8377;120,000.00 - &#8377;130,000.00 per yearEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>GCP Data engineer : 5 years (Required)</li><li>Python: 5 years (Required)</li><li>SQL: 5 years (Required)</li><li>ETL: 5 years (Required)</li></ul>Work Location: Remote

GCP Data Engineer

Job Title: Python Back-End Developer Location: Remote Experience: 4&ndash;6 Years Job Type: Full-timeAbout the RoleWe are seeking an experienced Back-End Developer with proven expertise in healthcare/NHS-related projects. The ideal candidate will have hands-on experience with FastAPI, FHIR standards, and healthcare data integration. You will be responsible for designing and implementing scalable, secure APIs and working in modern cloud-based, containerized environments while ensuring compliance with healthcare interoperability standards.Key Responsibilities<ul><li>Design, develop, and maintain RESTful APIs using FastAPI or similar Python frameworks.</li><li>Work on EMR integrations, MIG connectors, and healthcare interoperability standards.</li><li>Implement and manage FHIR R4 UK and SNOMED CT data models.</li><li>Apply FHIR mapping tools/libraries for seamless healthcare data exchange.</li><li>Ensure secure access control with role mapping, data suppression, and authentication mechanisms (CIS2, Optum Healthcare One).</li><li>Collaborate with frontend teams on integration patterns, supporting Material UI-based applications.</li><li>Implement asynchronous data aggregation, caching strategies, and progressive loading.</li><li>Work with AWS services such as Secrets Manager for secure infrastructure.</li><li>Develop in a containerized environment (Docker) with mono-repo architecture and CI/CD pipelines.</li><li>Use Agile tools (Rally or similar) for project tracking and collaboration.</li></ul>Required Skills &amp; Experience<ul><li>4&ndash;6 years of back-end development experience.</li><li>Mandatory experience in healthcare or NHS-related projects.</li><li>Strong expertise in FastAPI, RESTful API design, and healthcare data standards.</li><li>Familiarity with FHIR R4 UK, SNOMED CT, and EMR integration strategies.</li><li>Experience with AWS cloud services, Docker, and CI/CD pipelines.</li><li>Solid understanding of progressive loading, caching, and data staleness indicators.</li><li>Strong collaboration skills with frontend, data, and integration teams.</li></ul>Mandatory Background Verification Checks<ul><li>Education Check</li><li>Employment Check</li><li>Database Check</li><li>Criminal Check</li><li>Address Check</li><li>CIBIL / Credit Check</li><li>Reference Check</li><li>ID Check</li><li>CV Validation</li><li>Gap Check (Education to Employment)</li><li>Drug Test</li></ul>Why Join Us?<ul><li>Opportunity to work on cutting-edge healthcare/NHS projects.</li><li>Exposure to FHIR, EMR, and advanced interoperability standards.</li><li>Collaborative and innovation-driven work environment.</li><li>Competitive compensation and benefits package.</li></ul>Job Type: Contractual / Temporary Contract length: 6 monthsPay: &#8377;50,000.00 - &#8377;60,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Python: 4 years (Required)</li><li>APIs: 4 years (Required)</li><li>Healthcare project: 4 years (Preferred)</li><li>AWS: 4 years (Required)</li></ul>Work Location: Remote

Python Backend Developer

Job Title: Azure Data Engineer Location: Remote Experience: 5+ Years Job Type: ContractualAbout the RoleWe are looking for an experienced Azure Data Engineer with deep expertise in Azure Data Factory, Azure Databricks, and exposure to Azure Data Fabric. The ideal candidate will have hands-on experience designing and migrating large-scale data pipelines, handling unstructured data, and building solutions optimized for GenAI applications. You will play a key role in modernizing and scaling our data ecosystem to meet enterprise-grade performance and AI/ML integration needs.Key Responsibilities<ul><li>Assess existing Azure Data Factory + Databricks architecture and design a detailed migration plan to Azure Data Fabric.</li><li>Design, implement, and optimize end-to-end data pipelines for ingestion, transformation, storage, and analytics.</li><li>Work with large-scale unstructured data and support production pipelines processing 10,000+ file injections.</li><li>Build and manage multi-model data ingestion workflows, leveraging OCR capabilities where applicable.</li><li>Ensure seamless data integration from SharePoint and other sources into Azure Data Fabric with high data quality.</li><li>Collaborate with stakeholders to align data strategies with GenAI and ML workloads.</li><li>Implement data governance, security, and compliance best practices within Azure environments.</li><li>Conduct performance tuning and optimization for high-availability and cost-effective pipelines.</li></ul>Required Skills &amp; Qualifications<ul><li>5+ years of experience in Azure Data Engineering.</li><li>Strong hands-on expertise with Azure Data Factory and Azure Databricks (Must Have).</li><li>Minimum 6 months of hands-on experience with Azure Data Fabric OR at least one successful migration project.</li><li>Proven experience handling unstructured data at scale.</li><li>Experience in multi-model ingestion pipelines and managing large-scale file injections (&gt;10,000 files).</li><li>Strong proficiency in Spark, SQL, and data transformation techniques within Azure.</li><li>Understanding of GenAI data processing flows and ability to design data environments for AI/ML.</li><li>Knowledge of data governance, access controls, and compliance standards in cloud platforms.</li><li>Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.</li><li>Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect) preferred.</li></ul>Good to Have<ul><li>Experience with OCR pipeline development.</li><li>Familiarity with Azure Data Fabric real-time analytics capabilities.</li><li>Prior involvement in AI/ML data architecture projects.</li></ul>Why Join Us?<ul><li>Lead impactful cloud data migration and modernization projects.</li><li>Work on cutting-edge GenAI and ML-driven pipelines.</li><li>Collaborative team environment with strong ownership culture.</li><li>Competitive compensation and benefits.</li></ul>Job Type: Contractual / Temporary Contract length: 3 monthsPay: &#8377;960,000.00 - &#8377;1,080,000.00 per yearEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Azure: 6 years (Required)</li><li>SQL : 6 years (Required)</li><li>AI: 6 years (Required)</li><li>ML: 6 years (Required)</li></ul>Work Location: Remote

Azure Data Engineer

Join Workforce Next Pvt Ltd. 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.

Workforce Next Pvt Ltd.

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GCP Data Engineer

Python Backend Developer

Azure Data Engineer