Qureos Mentor

Zensar Technologies

<div>Job Summary:
We are seeking a skilled and proactive Data Engineer to join our team. The ideal candidate will have strong coding abilities, hands-on experience with data warehousing concepts, and a solid foundation in DevOps practices. This role requires flexibility to work in shifts and a collaborative mindset to support data-driven initiatives across the organization.
Must-Have Skills:
<ul><li>Proficient in Python programming
</li><li>Experience with Git for version control
</li><li>Strong understanding of DevOps principles
</li><li>Advanced SQL skills
</li><li>Solid grasp of Data Warehousing (DWH) concepts with hands-on experience
</li><li>Willingness to work in shift-based schedules
</li></ul>Good-to-Have Skills:
<ul><li>Experience with Snowflake
</li><li>Familiarity with Power BI or Looker for data visualization
</li></ul>Key Responsibilities:
<ul><li>Infrastructure and Operations: Ensure the reliability and scalability of critical systems by designing and managing robust infrastructure solutions.
</li><li>System Monitoring: Proactively monitor system health, using performance metrics and automated tools to detect potential issues before they impact users.
</li><li>Incident Management: Lead response efforts during service disruptions, ensuring swift resolution and minimal downtime.
</li><li>Problem Solving: Analyze root causes of system failures and implement long-term fixes to enhance system reliability.
</li><li>Automation: Develop scripts and tools to automate repetitive tasks, improving operational efficiency and reducing manual interventions.
</li><li>Collaboration: Partner with development teams to align on reliability goals and implement best practices into software design and deployment.
</li><li>Documentation: Maintain comprehensive system documentation to support consistent and efficient troubleshooting and knowledge sharing.
</li><li>Continuous Improvement: Drive innovation by identifying areas for enhancement and applying cutting-edge technologies and operational practices.
</li></ul>Qualifications:
<ul><li>Service Reliability : Experience with managing and maintaining highly-available systems, including cloud-based infrastructure.
</li><li>Programming : Proficiency in programming to automate repetitive tasks (&quot;toil&quot;) to reduce manual effort and human error.
</li><li>Monitoring &amp; Observability : Solid understanding of monitoring tools, incident management platforms, and metrics analysis.
</li><li>Technical Depth : Deep knowledge of system performance optimization and troubleshooting methodologies. Experience with cloud platforms, databases, CI/CD, distributed systems, and security best practices.
</li><li>Communication &amp; Collaboration : Strong communication skills (written and verbal) to effectively collaborate across cross-functional teams.
</li><li>Problem Solving : Ability to thrive in high-pressure situations and demonstrate a calm, methodical approach to problem-solving. Analytical mindset for interpreting data, metrics, and patterns to make informed decisions and predict future issues.
</li><li>Systemic Thinking: Ability to view interconnected systems holistically anticipating the broader impact of changes and designing for resilience.
</li><li>Ownership and Proactiveness: Take responsibility for the reliability and performance of services. Proactively identifying potential problems, performance bottlenecks, and areas for improvement before they impact users.
</li></ul>Education &amp; Experience
<ul><li>Education : Bachelor&rsquo;s or Master&rsquo;s Degree in Information systems, Computer Science / Computer Engineering or equivalent.
</li><li>Experience: 5-8 yrs of experience</li></ul></div>

Data Engineer

<div>Role Overview
We are seeking an experienced AI/ML Solution Architect who can design, develop, and implement enterprise-grade AI and machine learning solutions. The role involves working closely with business stakeholders, data scientists, data engineers, and development teams to deliver scalable AI/ML models, integrate them into products/platforms, and drive adoption across the organization. The ideal candidate should have deep expertise in AI/ML technologies, cloud platforms, solution architecture, and the ability to align technical solutions with business objectives.
Key Responsibilities
Solution Design &amp; Architecture
Define end-to-end AI/ML solution architectures, including data pipelines, model training, deployment, monitoring, and lifecycle management.
Translate business problems into AI/ML use cases and recommend appropriate algorithms, tools, and frameworks.
Ensure AI/ML solutions are scalable, secure, and aligned with enterprise architecture standards.
Technical Leadership
Guide data scientists and engineers in developing and optimizing machine learning models.
Provide best practices for feature engineering, model training, validation, and deployment.
Evaluate and recommend AI/ML platforms, tools, and frameworks.
Implementation &amp; Delivery
Work with cross-functional teams to implement ML models into production (batch/real-time inference).
Define CI/CD pipelines for ML (MLOps) to ensure model reproducibility and governance.
Collaborate with DevOps, cloud engineers, and product teams for seamless integration.
Stakeholder Management
Partner with business units to identify opportunities where AI/ML can add value.
Present solution architecture, technical choices, and business impact to stakeholders.
Support pre-sales, RFPs, and client discussions by providing AI/ML solution expertise.
Required Skills &amp; Qualifications
Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.
8&ndash;12 years of IT experience with at least 4&ndash;6 years in AI/ML solution design and deployment.
Strong expertise in machine learning, deep learning, NLP, computer vision, and generative AI .
Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
Proficiency in Python, R, or Java , with strong coding and debugging skills.
Solid knowledge of MLOps practices (CI/CD pipelines, model monitoring, versioning).
Experience with cloud platforms (AWS Sagemaker, Azure ML, Google Vertex AI).
Understanding of data architecture (data lakes, ETL pipelines, APIs, data governance).
Familiarity with microservices, APIs, and integration of ML models with enterprise applications.
Strong problem-solving, communication, and leadership skills.
Preferred Skills (Good to Have)
Knowledge of LLMs (Large Language Models) and prompt engineering.
Experience in AI ethics, fairness, and responsible AI frameworks.
Exposure to edge AI or IoT-based ML deployments.
Experience in big data tools (Spark, Hadoop, Databricks).
Contributions to open-source AI/ML projects or research publications.</div>

AI/ML - Solution Architect

<div>Responsibilities:
<div><ul><li>Hands-On Expertise: 
</li></ul></div><ul><li>Lead by example, fostering shared responsibility in day-to-day operations and projects.
</li><li>Guide the team with deep knowledge, overcoming challenges, and achieving goals.
</li><li>Act as a subject matter expert, staying updated on industry trends to drive innovation.
</li><li>Configure and optimize CI/CD workflows for efficient infrastructure changes.
</li><li>Adopt a DevOps mindset, emphasizing collaboration in CI/CD processes.
</li><li>Perform system administration tasks for optimal performance and security.
</li><li>Proactively identify opportunities for infrastructure optimization, automation, and efficiency improvements.
</li><li>Infrastructure Strategy and Governance:
</li><li>Develop and execute a comprehensive infrastructure strategy aligned with organizational goals.
</li><li>Establish governance policies, standards, and procedures for efficient and secure infrastructure management.
</li><li>Collaborate with stakeholders to identify infrastructure needs and prioritize projects.
</li><li>Engage with customers to understand infrastructure requirements, challenges, and goals.
</li><li>Translate customer requirements into actionable plans aligned with organizational goals.
</li><li>Implement agile and flexible infrastructure frameworks.
</li><li>Lead the design and architecture of scalable, secure, and highly available infrastructure solutions.
</li><li>Collaborate with cross-functional teams to define infrastructure requirements and ensure security best practices.
</li><li>Ensure infrastructure compliance with relevant industry standards and regulations.
</li><li>Maintain comprehensive documentation for infrastructure configurations, processes, and procedures.
</li><li>Product Development and Innovation:
</li><li>Drive the development and enhancement of infrastructure products and solutions.
</li><li>Stay updated with emerging technologies, industry trends, and best practices.
</li><li>Advocate for prototypes and proof-of-concept projects to validate innovative solutions.
</li><li>Foster a culture of creativity and experimentation within the team.
</li><li>Engage in prototyping activities to provide practical insights for infrastructure solutions.
</li><li>Stakeholder Collaboration:
</li><li>Collaborate and communicate transparently with internal and external stakeholders.
</li><li>Effectively communicate complex infrastructure concepts to non-technical stakeholders.
</li><li>Engage with external stakeholders to understand challenges and incorporate feedback into strategies, solutions, and products.
</li><li>5. Qualifications and Skills:
</li><li>Strong understanding of infrastructure management (AWS, Azure, on-premises).
</li><li>Proficient in implementing Governance as Code and Infrastructure as Code principles.
</li><li>Deep understanding of best practices, including version control with tools like Bitbucket.
</li><li>Excellent ability to prioritize tasks, manage resources, and meet deadlines.
</li><li>Strong leadership and team management skills.
</li><li>Excellent communication and interpersonal skills.
</li>Exceptional customer skills and ability to handle difficult situations. 
<li>
</li></ul><div><ul><li>Infrastructure Strategy and Governance:
</li></ul></div><ul><li>Develop and execute a comprehensive infrastructure strategy aligned with TechConnect's goals and objectives.
</li><li>Establish governance policies, standards, and procedures to ensure efficient and secure infrastructure management.
</li><li>Collaborate with stakeholders to identify infrastructure needs, prioritize projects, and ensure effective utilization to drive informed decision-making.
</li><li>Customer Engagement and Requirements Gathering:
</li><li>Interact with customers to understand their infrastructure requirements, challenges, and goals.
</li><li>Conduct meetings, workshops, and ideation sessions to gather customer feedback, requirements, and insights.
</li>Translate customer requirements into actionable plans and strategies, ensuring alignment with organizational goals. 
<li>
</li></ul><div><ul><li>Product Development and Innovation:
</li></ul></div><ul><li>Drive the development and enhancement of infrastructure products and solutions to meet customer demands.
</li><li>Stay updated with emerging technologies, industry trends, and best practices to explore innovative approaches and potential business opportunities.
</li>Foster a culture of creativity and experimentation, encouraging the team to explore new ideas, technologies, and methodologies to continuously deliver customer value. 
<li>
</li></ul><div><ul><li>Stakeholder Collaboration:
</li></ul></div><ul><li>Collaborate closely and communicate transparently with both internal and external stakeholders to ensure that infrastructure initiatives align with business objectives, client needs, and industry standards.
</li><li>Effectively communicate complex infrastructure concepts and insights to non-technical stakeholders, enabling them to make informed decisions.
</li>Engage with external stakeholders, such as clients, partners, regulatory bodies, and industry associations, to understand their challenges and incorporate their feedback into our strategies, solutions, and products. 
<li>
</li></ul>Qualifications and Skills:
<ul><li>Strong understanding of infrastructure management, including AWS, Azure, and on-premises environments.
</li><li>Excellent proficiency in implementing and applying Governance as Code and Infrastructure as Code principles, along with a deep understanding of best practices, including version control with tools like Bitbucket.
</li><li>Excellent ability to prioritize tasks, manage resources, and meet deadlines.
</li><li>Strong leadership and team management skills, with the ability to inspire and motivate a team to achieve exceptional results.
</li><li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders.
</li><li>Exceptional customer skills and the ability to handle difficult situations.
</li><li>Excellent interpersonal and communication skills, with the ability to build rapport, motivate others, and facilitate productive discussions.</li></ul></div>

Senior Infrastructure Engineer

<div>Security &amp; Governance Engineer &mdash; Data Platforms (incl. Power Platform)
Role purpose
 
Embed secure-by-default controls and governance across Fabric and Power BI , enforcing information protection, platform guardrails and auditability, and establishing Power Platform DLP and environment strategy to support low-code automations safely.
Responsibilities
<ul><li>Implement identity/access (Entra ID roles, service principals, PIM), workspace models and RLS/OLS aligned to the security matrix.
</li><li>Define data classification, sensitivity labels, retention and audit logging; monitor tenant/workspace settings and activity.
</li><li>Stand up catalogue/lineage ( Purview ) and governance workflows; ensure compliance across Salesforce and Oracle integrations.
</li><li>Establish Power Platform governance (DLP policies, connector management, environment design, admin monitoring).
</li><li>Champion &ldquo;secure by default&rdquo; and conduct periodic reviews, including embedded analytics scenarios.
</li></ul>Essential experience
<ul><li>Data security/governance for Microsoft data platforms; Power BI admin and Fabric guardrails.
</li><li>Designing controls for multi-source (SaaS/ERP) analytics; automation of policy/config via IaC.
</li></ul>Desirable
<ul><li>Purview admin; Key Vault/KMS; experience in regulated environments.</li></ul></div>

Power Platform - Security & Governance Engineer

<div>Change &amp; Training Lead &mdash; Analytics Adoption (Power BI &amp; Power Platform)
Role purpose
 
Drive adoption for the new P&amp;L analytics, supporting sales/finance users and developers across Power BI and Power Platform , with enablement for optional embedded Power BI in Salesforce .
Responsibilities
<ul><li>Create and execute change, comms and role-based training plans (consumers, analysts, developers, admins).
</li><li>Develop learning assets (how-to guides, short videos, clinics/office hours), Centre-of-Excellence playbook, and champions network.
</li><li>Coach teams on operating model shifts (Fabric pipelines replacing manual CSVs; certified datasets; governed workspaces).
</li><li>Introduce Power Platform enablement: Power Automate alerts/approvals, Power Apps for controlled data capture, best-practice templates and governance.
</li><li>Define adoption KPIs and feedback loops; coordinate UAT, readiness and hypercare.
</li></ul>Essential experience
<ul><li>Leading change on data/BI transformations with Salesforce and finance stakeholders.
</li><li>Excellent facilitation/content design; measuring adoption and benefits realisation.
</li></ul>Desirable
<ul><li>PROSCI/ACMP; accessibility and inclusive design; experience enabling Power Platform citizen development safely.</li></ul></div>

Power Platform - Change and Training Lead

<div>Power BI Developer &mdash; Microsoft Fabric (with Power Platform)
Role purpose
 
Build reliable, observable Fabric pipelines ingesting Salesforce (incl. CPQ) into Lakehouse/Delta with ~5&ndash;10 minute updates; extend to Oracle integration in Phase 2, implementing medallion architecture and quality by design.
Responsibilities
<ul><li>Implement incremental ingestion via Data Factory, Dataflows Gen2 and notebooks (Spark/SQL) ; parameterise, manage secrets, retry/error-handling, SLAs.
</li><li>Design bronze/silver/gold layers with testing/expectations, SCD handling and lineage; optimise partitioning and file sizes.
</li><li>Build Phase 2 Oracle interfaces (API/flat-file staging), field mappings and validations; support reconciliations.
</li><li>Automate environment promotion (Dev/QA/Prod) and CI/CD; expose operational metrics.
</li><li>Leverage Power Platform connectors/Dataflows where appropriate; enable Power Automate notifications for pipeline events.
</li></ul>Essential experience
<ul><li>Fabric engineering at scale (Lakehouse/Delta, pipelines, Spark/SQL), strong SQL/Python/PySpark; Git-based CI/CD.
</li><li>Ingesting Salesforce data and integrating Oracle /finance sources.
</li></ul>Desirable
<ul><li>Event-driven/near-real-time patterns; Purview; DP-203/DP-600.</li></ul></div>

Power BI & Visualization Engineer

<div>Primary Skills -
OneTrust experience especially for the modules Consent &amp; Preference Management, Cookie Consent and Policy Notice Management
Experience with any scripting language like JavaScript / Any other Script. Good to have knowledge on FreeMarker Script.
Experience with Rest APIs using any tools like Postman.
Debugging, Troubleshooting skills. 
Secondary skills -
Good to have any programming language experience like Java and any Database experience like SQL.</div>

One Trust Consultant

Join Zensar Technologies and explore 15   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.