cloud operations engineer

NextEra

<div>
 
 Dear All,
 
 
 
 
 
 
 NextEra is
 
 looking for
 
 dynamic
 
 resources in
 
 IT-Site Reliability Engineer
 
 role.
 
 
 
 
 
 
 Role Title:
 
 Site Reliability Engineer &ndash; L2 Support
 
 
 
 Function:
 
 Cloud &amp; Infrastructure Operations / Managed Services
 
 
 
 Role Level:
 
 L2 Technical Support
 
 
 
 Location:
 
 Riyadh
 
 
 
 
 
 The SRE L2 Support Engineer will be responsible for maintaining the reliability, availability, performance, and operational stability of business-critical applications and platform services hosted across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and open-source observability platforms. The role requires hands-on experience in incident management, monitoring, troubleshooting, service restoration, automation support, and operational governance using Grafana, Tempo, Loki, Prometheus, and related open-source ecosystem tools. The engineer will work closely with L1 support, L3/platform engineering teams, application teams, cloud teams, database teams, network teams, and customer stakeholders to ensure timely incident resolution, proactive problem management, and continuous improvement of service reliability.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Provide L2-level support for incidents, service requests, alerts, and operational issues across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and open-source observability platforms.
 </li>
 <li>
 Own incident triage, technical investigation, service restoration, escalation coordination, and closure documentation for priority incidents within agreed service levels.
 </li>
 <li>
 Perform deep-dive troubleshooting using metrics, logs, traces, dashboards, events, Kubernetes health data, cloud service telemetry, database alerts, Kafka lag indicators, Redis metrics, storage events, and network diagnostics.
 </li>
 <li>
 Monitor service availability, latency, error rates, saturation, capacity trends, pod health, node health, cluster resource utilization, Kafka consumer lag, Redis performance, database availability, object storage health, event bus failures, and network connectivity using Grafana, Prometheus, Loki, and Tempo.
 </li>
 <li>
 Support major incident management by providing technical analysis, impact assessment, workaround recommendations, timeline inputs, and post-incident review data for cloud, container, messaging, caching, storage, database, and network service issues.
 </li>
 <li>
 Coordinate with L1 teams for alert validation, ticket enrichment, runbook adherence, initial diagnostics, and handover of evidence before L2 engagement.
 </li>
 <li>
 Escalate complex issues to L3 engineering, platform engineering, Kubernetes administrators, cloud operations teams, database administrators, network teams, or product vendors with clear technical evidence and impact details.
 </li>
 <li>
 Execute approved operational tasks including service restarts, pod restarts, deployment validation, namespace checks, log review, configuration verification, certificate checks, storage access validation, Kafka topic and consumer checks, Redis health checks, database connectivity checks, network route validation, and scheduled health checks.
 </li>
 <li>
 Identify recurring incidents and contribute to problem management by performing root cause analysis, documenting known errors, creating corrective actions, and recommending permanent fixes.
 </li>
 <li>
 Create, update, and maintain SOPs, knowledge articles, troubleshooting guides, operational runbooks, alert response guides, and shift handover documentation for the defined technology stack.
 </li>
 <li>
 Support automation and standardization of repetitive operational tasks such as health checks, alert enrichment, log collection, Kubernetes diagnostics, cloud resource checks, Kafka status checks, Redis checks, storage validation, and database connectivity validation.
 </li>
 <li>
 Participate in change implementation support, pre-change validation, post-change monitoring, deployment verification, rollback support, and production readiness checks for GCP, OCI, Kubernetes, messaging, caching, storage, database, and observability changes.
 </li>
 <li>
 Ensure compliance with incident, problem, change, release, access, security, and operational governance processes within the defined SRE operating model.
 </li>
 <li>
 Prepare daily, weekly, and monthly operational reports covering incident trends, SLA performance, recurring issues, capacity observations, observability gaps, automation opportunities, and service improvement actions.
 </li>
 <li>
 Work in rotational shifts, on-call support, weekend support, or extended support windows based on business and client requirements.
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 <ul>
 <li>
 Strong understanding of SRE principles including reliability, availability, scalability, observability, toil reduction, incident response, service-level objectives, and error-budget awareness.
 </li>
 <li>
 Hands-on experience in L2 production support, platform support, cloud operations, Kubernetes operations, or managed services support.
 </li>
 <li>
 Working knowledge of GCP and OCI services, including compute, storage, networking, identity, monitoring, logging, service health, and operational troubleshooting.
 </li>
 <li>
 Hands-on understanding of Kubernetes concepts including clusters, nodes, namespaces, pods, deployments, services, ingress, config maps, secrets, persistent volumes, resource limits, events, logs, and basic troubleshooting commands.
 </li>
 <li>
 Knowledge of network services including DNS, load balancers, firewalls, routing, connectivity checks, certificates, ports, latency, packet loss, and service reachability troubleshooting.
 </li>
 <li>
 Experience supporting Kafka, including topic validation, broker health checks, consumer group status, consumer lag analysis, producer and consumer connectivity, and event streaming issue triage.
 </li>
 <li>
 Experience supporting Redis, including cache availability checks, memory utilization, latency, connection issues, keyspace checks, replication status, and basic performance troubleshooting.
 </li>
 <li>
 Understanding of S3-compatible storage, including bucket access, object availability, permissions, lifecycle behavior, storage events, data transfer failures, and application integration issues.
 </li>
 <li>
 Working knowledge of event bus platforms and event-driven architectures, including event publishing, subscription failures, message routing, retry behaviour, dead-letter handling, and integration troubleshooting.
 </li>
 <li>
 Basic understanding of relational and NoSQL databases, including connectivity checks, query execution validation, job status validation, performance alerts, backup status, replication status, and database availability analysis.
 </li>
 <li>
 Hands-on experience with Grafana for dashboard review, alert visualization, service health monitoring, and operational reporting.
 </li>
 <li>
 Experience using Prometheus for metrics collection, alert rule validation, service target health, scrape status checks, and metric-based troubleshooting.
 </li>
 <li>
 Experience using Loki for log search, log correlation, application log analysis, infrastructure log review, and incident investigation.
 </li>
 <li>
 Experience using Tempo for distributed trace analysis, request flow review, latency investigation, dependency mapping, and transaction-level troubleshooting.
 </li>
 <li>
 Good working knowledge of the open-source ecosystem used in cloud-native operations, observability, automation, container platforms, logging, tracing, monitoring, and service reliability engineering.
 </li>
 <li>
 Ability to analyze logs, metrics, traces, alerts, dashboards, events, and performance indicators to isolate technical issues and support timely service restoration.
 </li>
 </ul>
 
 
 Experience and Qualifications
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in SRE, platform support, cloud operations, Kubernetes operations, application production support, or managed services support.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related discipline.
 </li>
 <li>
 Experience supporting business-critical production environments with defined SLA, OLA, escalation, and operational governance processes.
 </li>
 <li>
 Exposure to 24x7 support models, shift operations, major incident calls, client-facing operations, and cross-functional technical coordination.
 </li>
 <li>
 Preferred certifications include Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud DevOps Engineer, OCI Foundations Associate, OCI Architect Associate, Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Kubernetes and Cloud Native Associate, Prometheus/Grafana observability training, SRE Foundation, or ITIL Foundation.
 </li>
 </ul>
 
 
 Behavioral and Operational Competencies
 
 
 <ul>
 <li>
 Strong analytical thinking and structured troubleshooting approach across cloud, Kubernetes, network, database, messaging, caching, storage, and observability layers.
 </li>
 <li>
 Ability to work under pressure during high-severity incidents, production outages, cloud service degradation, Kubernetes failures, Kafka issues, Redis issues, database issues, storage access failures, and network connectivity problems.
 </li>
 <li>
 Ability to prioritize multiple incidents, alerts, requests, platform issues, and operational tasks in a time-sensitive environment.
 </li>
 <li>
 Good collaboration skills across L1, L2, L3, platform engineering, cloud, Kubernetes, network, database, application, and vendor teams.
 </li>
 <li>
 Willingness to learn and continuously improve skills across GCP, OCI, Kubernetes, Kafka, Redis, S3-compatible storage, event bus, databases, Grafana, Tempo, Loki, Prometheus, and the wider open-source ecosystem.
 </li>
 </ul>
 
 
 Key Deliverables and Success Measures
 
 
 <ul>
 <li>
 Timely resolution of L2 incidents within agreed SLA and OLA targets across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and observability platforms.
 </li>
 <li>
 Improved service availability, reduced recurring incidents, and faster mean time to restore service across the defined SRE support landscape.
 </li>
 <li>
 High-quality incident documentation, RCA inputs, runbooks, SOPs, alert response guides, and knowledge articles for the supported technology stack.
 </li>
 </ul>
 
 
 
</div>

Site Reliability Engineer

Wipro

<div>
 
 
 Role Summary
 
 
 
 Ensure high availability, performance, and reliability of production systems through automation, cloud operations, monitoring, and incident management.
 
 
 
 Key Responsibilities
 
 
 
 - Build and manage scalable AWS cloud infrastructure using Terraform / CloudFormation
 
 
 - Implement monitoring and observability using Prometheus, Grafana, Splunk, or Datadog
 
 
 - Handle incidents, RCA, on-call support, SLOs, SLIs, and error budgets
 
 
 - Automate operations to improve efficiency, reliability, and MTTR
 
 
 - Manage Kubernetes, Docker, CI/CD pipelines, runbooks, and ITIL processes
 
 
 
 Mandatory Skills
 
 
 
 - SRE / DevOps / Production Support with AWS cloud experience
 
 
 - Kubernetes, Docker, Linux, and networking fundamentals
 
 
 - Scripting using Python, Bash, or Go
 
 
 - Monitoring tools and incident / RCA management
 
 
 
 Preferred Skills
 
 
 
 - Terraform / CloudFormation, Jenkins / GitLab CI/CD, ServiceNow / ITSM
 
 
 - Cloud security tools and enterprise environment experience
 
 
 Experience
 
 
 5+ years in SRE / DevOps / Cloud / Production Support
 
</div>

Site Reliability Engineer (SRE)

JAWRAA

<div>
 
 Jawraa is a leading digital transformation partner committed to empowering businesses in Saudi Arabia. With over two decades of experience, we've helped organizations navigate the evolving digital landscape and achieve their goals. Our deep industry expertise and strategic partnerships with top-tier technology providers set us apart.
 
 
 
 
 
 
 About the job :
 
 
 
 We are looking for a Senior Cloud Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing engineering team. In this role, you will be responsible for designing, building, and maintaining scalable, secure, and highly available cloud infrastructure that powers our core products and services. You will partner with software engineers, data teams, and security to lead cloud-native transformation initiatives and champion best practices across the organization.
 
 
 
 
 
 
 Key Responsibilities :
 
 
 
 
 Infrastructure Architecture &amp; Design
 
 
 
 &bull; Architect and implement highly available, fault-tolerant, and scalable cloud solutions on GCP
 
 
 &bull; Lead the design of GCP-native infrastructure using services such as GKE, Cloud Run, Compute Engine, Cloud SQL, BigQuery, Pub/Sub, and Cloud Storage
 
 
 &bull; Define infrastructure standards, patterns, and reference architectures for engineering teams
 
 
 
 
 
 
 DevOps &amp; Automation
 
 
 
 &bull; Build and maintain Infrastructure as Code (IaC) using Terraform and Google Deployment Manager
 
 
 &bull; Design and manage CI/CD pipelines using Cloud Build, GitHub Actions, or similar tooling
 
 
 &bull; Automate cloud operations, monitoring, and remediation using scripting (Python, Bash, Go)
 
 
 
 
 
 
 Security &amp; Compliance
 
 
 
 &bull; Implement and enforce GCP security best practices including IAM, VPC Service Controls, and Cloud Armor
 
 
 &bull; Ensure compliance with regulatory frameworks (SOC 2, ISO 27001, GDPR) within the cloud environment
 
 
 &bull; Conduct regular security assessments and drive vulnerability remediation efforts
 
 
 
 
 
 
 Reliability &amp; Performance
 
 
 
 &bull; Define and maintain SLIs, SLOs, and error budgets for cloud infrastructure services
 
 
 &bull; Lead incident response, root cause analysis, and blameless post-mortems
 
 
 &bull; Optimize cloud resource utilization and drive cost management through FinOps practices
 
 
 
 
 
 
 Collaboration &amp; Leadership
 
 
 
 &bull; Mentor junior and mid-level cloud engineers and promote a culture of learning
 
 
 &bull; Collaborate with product, data, and security teams to align cloud strategy with business goals
 
 
 &bull; Document architecture decisions, runbooks, and operational procedures
 
 
 
 
 
 
 Google Cloud Networking
 
 
 
 &bull; Design and manage Google Cloud VPC networks, subnets, firewall rules, and network policies
 
 
 &bull; Configure and optimize Cloud Load Balancing (HTTP(S), TCP/SSL, Internal) for high-availability workloads
 
 
 &bull; Implement Cloud CDN, Cloud DNS, and Traffic Director for global traffic management
 
 
 &bull; Set up and manage hybrid connectivity using Cloud Interconnect (Dedicated &amp; Partner) and Cloud VPN
 
 
 &bull; Deploy and configure Shared VPC and VPC Network Peering for multi-project architectures
 
 
 &bull; Apply network security controls including Cloud Armor (WAF/DDoS), VPC Service Controls, and Private Google Access
 
 
 &bull; Monitor and troubleshoot network performance using Network Intelligence Center, Connectivity Tests, and VPC Flow Logs
 
 
 &bull; Design private networking for GKE clusters using Alias IP ranges, Cloud NAT, and Private Service Connect
 
 
 
 
 
 
 Requirements :
 
 
 
 &bull; Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field &mdash; or equivalent practical experience.
 
 
 &bull; 7+ years of experience in cloud engineering, with at least 5 years hands-on with GCP
 
 
 &bull; Deep expertise in GCP services: GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Functions, VPC, IAM
 
 
 &bull; Proficiency in Infrastructure as Code using Terraform
 
 
 &bull; Strong programming/scripting skills in Python, Go, or Bash
 
 
 &bull; Experience with Kubernetes and containerized workloads
 
 
 &bull; Hands-on experience with CI/CD tooling and GitOps workflows
 
 
 &bull; Solid understanding of networking concepts: DNS, VPNs, load balancing, CDN, TCP/IP
 
 
 &bull; Experience implementing security controls and compliance in cloud environments
 
 
 &bull; Google Cloud Professional certifications (Cloud Architect, DevOps Engineer, Security Engineer)
 
 
 &bull; Experience with multi-cloud or hybrid cloud architectures
 
 
 &bull; Familiarity with data engineering tools: Dataflow, Dataproc, BigQuery ML
 
 
 &bull; Experience with service mesh technologies (Istio, Anthos Service Mesh)
 
 
 &bull; Background in SRE principles and practices
 
 
 
 
 
 
 
 
 
 Required Specialized Certifications :
 
 
 
 Google Professional Cloud Architect
 
 
 Google Professional DevOps Engineer
 
 
 Google Professional Cloud Security Engineer
 
 
 Google Associate Cloud Engineer
 
</div>

Senior Cloud Engineer {GCP}

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Role Summary</h2>
We are seeking an experienced Platform Engineer to design, build, automate, and manage enterprise-grade application platforms and cloud-native infrastructure. The ideal candidate will have expertise in CI/CD, containerization, Kubernetes orchestration, Infrastructure as Code (IaC), configuration management, and platform automation to enable secure, scalable, and reliable software delivery.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, build, and maintain enterprise platform infrastructure and developer platforms.</li><li>
Develop and manage CI/CD pipelines to automate application build, testing, deployment, and release processes.</li><li>
Deploy and manage containerized applications using Kubernetes and enterprise container platforms.</li><li>
Implement GitOps practices for automated application deployment and infrastructure management.</li><li>
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.</li><li>
Manage virtualization and cloud infrastructure environments.</li><li>
Monitor platform performance, availability, and reliability while implementing continuous improvements.</li><li>
Collaborate with Development, DevOps, Security, and Operations teams to deliver scalable platform solutions.</li><li>
Implement platform security, governance, backup, and disaster recovery best practices.</li><li>
Create technical documentation, operational runbooks, and deployment standards.</li></ul><h2 class="jobSectionHeader">
Must-Have Skills</h2><ul><li>
Experience with GitLab OR Jenkins for CI/CD pipeline development and automation.</li><li>
Experience with Argo CD for GitOps-based application deployment.</li><li>
Experience with SonarQube for code quality and static code analysis.</li><li>
Experience with Renovate Bot or comparable dependency management and automation tools.</li><li>
Hands-on experience with Docker OR Docker Compose for containerization.</li><li>
Experience with Kubernetes OR OpenShift OR Oracle Kubernetes Engine (OKE) OR Google Cloud Run for container orchestration and cloud-native application deployment.</li><li>
Experience with Terraform OR Ansible for Infrastructure as Code (IaC) and configuration management.</li><li>
Experience with VMware vCenter OR OpenStack for virtualization and private cloud infrastructure.</li><li>
Strong knowledge of Linux system administration and shell scripting.</li><li>
Understanding of cloud-native architecture, networking, security, and platform engineering best practices.</li></ul><h2 class="jobSectionHeader">
Good to Have</h2><ul><li>
Experience with AWS OR Microsoft Azure OR Google Cloud Platform (GCP).</li><li>
Experience with Helm OR Kustomize.</li><li>
Knowledge of Prometheus OR Grafana OR ELK Stack for monitoring and observability.</li><li>
Experience with HashiCorp Vault or other secrets management solutions.</li><li>
Familiarity with Python OR Go for platform automation.</li><li>
Experience implementing DevSecOps practices.</li><li>
Knowledge of service mesh technologies such as Istio or Linkerd.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.</li><li>
3&ndash;12+ years of experience in Platform Engineering, DevOps, Cloud Infrastructure, Site Reliability Engineering (SRE), or Infrastructure Automation.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience designing and operating enterprise Kubernetes platforms.</li><li>
Strong understanding of GitOps, Infrastructure as Code, and cloud-native engineering principles.</li><li>
Experience delivering enterprise DevOps and platform modernization initiatives.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Excellent communication, documentation, and stakeholder management skills.</li><li>
Ability to build secure, scalable, highly available, and automated platform solutions.</li></ul>
jh9EThp8S0</div>

Platform Engineer

Saudi Aquaculture Systems Factory Company - SAQUA

<div>
 
 Role Description
 
 This is a full-time, on-site Software Engineer role based in Riyadh with Saudi Aquaculture Systems Factory Company - SAQUA. The Software Engineer will design, develop, and maintain software solutions that support aquaculture operations, internal platforms, and business processes. Daily responsibilities include implementing back-end features and APIs, writing clean and maintainable code, conducting code reviews, and resolving technical issues. The role involves collaborating closely with cross-functional teams to understand requirements, translating them into technical specifications, and integrating software with hardware or external systems when needed. The Software Engineer will also participate in testing, performance optimization, documentation, and continuous improvement of development practices.
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong foundation in Computer Science principles, including algorithms, data structures, and software design concepts.
 </li>
 <li>
 Proficiency in Software Development and Programming, with experience in at least one modern programming language (e.g., Java, C#, Python, or similar).
 </li>
 <li>
 Hands-on experience in Back-End Web Development, including building APIs, working with databases, and integrating with third-party services.
 </li>
 <li>
 Solid understanding and practical use of Object-Oriented Programming (OOP) in designing scalable and maintainable systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
 </li>
 <li>
 Familiarity with version control systems (e.g., Git) and collaborative development workflows.
 </li>
 <li>
 Experience with testing practices (unit, integration, and system testing) and debugging techniques.
 </li>
 <li>
 Ability to work on-site in Riyadh, collaborate with diverse teams, manage time effectively, and adapt to evolving project requirements.
 </li>
 <li>
 Experience with cloud platforms, containerization, or DevOps tools is an advantage.
 </li>
 <li>
 Domain interest or experience in industrial, manufacturing, or aquaculture-related systems is a plus.
 </li>
 </ul>
</div>

Software Engineer

<div><h1 class="jobSectionHeader">Job Description: Analytics &amp; Transformation Engineer</h1>
Job Title: Analytics &amp; Transformation Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Analytics &amp; Transformation Engineer with 3&ndash;11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Visualization</h3><ul><li>
Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader">
Data Modeling &amp; Analytics Engineering</h3><ul><li>
Strong experience with SQL and dbt for data transformation and analytics workflows.</li><li>
Experience designing and maintaining semantic models and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader">
Product &amp; Behavioral Analytics</h3><ul><li>
Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader">
Experimentation &amp; Measurement</h3><ul><li>
Experience designing and analyzing A/B testing initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader">
Reporting &amp; Productivity Tools</h3><ul><li>
Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>
3&ndash;11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Business Intelligence: Power BI or Tableau or Looker</li><li>
Analytics Engineering: dbt and SQL</li><li>
Data Modeling: Semantic Models and Metrics Frameworks</li><li>
Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar</li><li>
Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing</li><li>
Reporting &amp; Analysis: Excel and Dashboard Creation</li><li>
Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness</li><li>
Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs</li></ul>
YIaTsfUsPM</div>

Analytics & Transformation Engineer

Cognizant

Role Overview
 As a Senior Data Engineer / Tech Lead, you will design, develop, and optimize scalable, enterprise-grade cloud-native data platforms and pipelines on the Microsoft Azure ecosystem . You will possess deep technical ownership and be responsible for implementing modern data architectures (such as Lakehouse and Medallion architecture) . This role requires close collaboration with architects, business analysts, and downstream data consumers to translate complex business requirements into high-performing and secure data solutions.
 
Key Responsibilities
 1.Data Pipeline Design & Orchestration (ADF)
 <ul>
<li>Design, build, and maintain complex, scalable ETL/ELT pipelines using Azure Data Factory (ADF) to ingest heterogeneous data from diverse sources (APIs, SFTP, Oracle Fusion, SQL Server, Event Hubs, etc.)</li>
<li>Implement parameter-driven dynamic pipelines, custom activities, and robust scheduling triggers</li>
<li>Configure and manage Integration Runtimes (Self-Hosted and Azure IR) for secure and efficient on-premise to cloud data movement</li>
</ul>
2.Advanced Big Data Processing (Azure Databricks)
 <ul>
<li>Develop high-performance batch and real-time streaming data pipelines using Azure Databricks, PySpark, Spark SQL, or Scala</li>
<li>Implement Medallion Architecture (Bronze, Silver, and Gold layers) and maintain modern Lakehouse architectures utilizing Delta Lake</li>
<li>Optimize Spark compute usage through parameter-driven jobs, proper cluster scaling, and Databricks serverless compute configurations</li>
<li>Perform deep performance tuning, query optimization, and memory management of heavy Spark workloads</li>
</ul>
3.Data Warehousing & Modeling
 <ul>
<li>Design and refine data models including dimensional modeling, star schemas, and Slowly Changing Dimensions (SCDs)</li>
<li>Optimize databases by writing complex, performant T-SQL queries, stored procedures, and schemas on Azure SQL Database or Azure Synapse Analytics</li>
</ul>
4.Data Governance, Security & DevOps
 <ul>
<li>Enforce data governance, lineage, and access controls across the platform utilizing Unity Catalog .</li>
<li>Secure data architectures utilizing Azure Key Vault, Managed Identities, Service Principals, and VNET-integrated environments</li>
<li>Implement CI/CD pipelines using Git and Azure DevOps to automate database and pipeline deployments</li>
</ul>
5.Leadership & Collaboration
 <ul>
<li>Provide technical mentorship and guidance to junior developers and QA teams</li>
<li>Enforce engineering discipline through standard code reviews, structured pre/post-deployment validations, and thorough documentation</li>
</ul>
Required Skills & Qualifications
 <ul>
<li>Overall Experience: Minimum of 8+ years of professional experience in Data Engineering or Data Warehousing</li>
<li>Azure Experience: 4+ years of dedicated, hands-on experience designing and operating modern data platforms on Microsoft Azure</li>
<li>Programming Languages: Proficient in Python/PySpark, SQL (advanced query optimization, indexing, stored procedures), and optionally Scala</li>
<li>Core Azure Stack: Extensive knowledge of Azure Data Factory, ADLS Gen2, Azure Databricks (Delta Lake), Azure SQL Database, and Azure Synapse Analytics</li>
<li>Big Data Concepts: Robust understanding of Apache Spark architecture, distributed computing, and the Hadoop ecosystem</li>
<li>Data Integration: Strong background in CDC (Change Data Capture) mechanisms, API integrations, and event-driven data streaming (e.g., Event Hubs/Kafka)</li>
<li>Soft Skills: Excellent analytical capabilities, strong documentation skills, and the ability to articulate technical strategies to non-technical business partners</li>
</ul>
Preferred / "Good-to-Have" Qualifications
 <ul>
<li>Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203), Azure Solutions Architect Expert, or Databricks Certified Associate/Professional</li>
<li>Cloud Platforms: Exposure to multi-cloud environments (e.g., Google Cloud Platform or AWS)</li>
<li>IaC: Experience using Infrastructure as Code (IaC) tools like Terraform or ARM Templates to deploy Azure resources</li>
</ul>

Architect

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