business analyst

cloud engineer

senior data engineer

civil engineer

facility engineer

database engineer

Prime Gate

<div><h2 class="jobSectionHeader">About the Role</h2>
We are looking for a highly skilled Software Engineer to join our team in Hafar Al-Batin. The successful candidate will be responsible for designing, developing, testing, implementing, and maintaining software systems and web applications that support business operations and strategic objectives. The ideal candidate should possess strong problem-solving skills, experience in full software development lifecycle processes, and the ability to work collaboratively within a dynamic environment. 
 
Key Responsibilities<ul><li>
Design, implement, and maintain database solutions to ensure high availability, scalability, and reliability.</li><li>
Monitor database performance and optimize queries, indexes, and database structures.</li><li>
Manage backup, recovery, and disaster recovery processes.</li><li>
Implement database security policies, access controls, and compliance standards.</li><li>
Troubleshoot database-related issues and provide timely resolutions.</li><li>
Collaborate with development and infrastructure teams to support business applications.</li><li>
Perform database upgrades, patches, and migrations when required.</li><li>
Develop and maintain database documentation, procedures, and best practices.</li><li>
Ensure data integrity, consistency, and availability across all systems.</li><li>
Proactively identify opportunities for database performance improvements. 
 
Required Qualifications<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related field.</li><li>
Minimum 4 years of experience in Database Administration or Database Engineering.</li><li>
Strong experience with Oracle Database, Microsoft SQL Server, and/or PostgreSQL.</li><li>
Advanced knowledge of SQL, query optimization, and database tuning.</li><li>
Experience in backup and recovery management.</li><li>
Knowledge of database security and access management.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication skills in both Arabic and English.</li></ul></li></ul></div>

Software Engineer

Innovaccer

<div>About the Role 
As a Data Engineer at Innovaccer, you will be at the heart of our data infrastructure &mdash; designing, building, and maintaining the scalable pipelines and platforms that power our AI-driven healthcare solutions across the Kingdom of Saudi Arabia. You will play a key role in enabling data-driven decision-making for health systems, payers, and providers, directly contributing to better patient outcomes and operational excellence across the Saudi healthcare landscape.
A Day in the Life<ul><li>
Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems.</li><li>
Build and optimize scalable data models within cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.</li><li>
Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions.</li><li>
Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.</li><li>
Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems in the KSA market.</li><li>
Contribute to infrastructure-as-code practices, supporting CI/CD pipelines and automating deployment of data workflows.</li><li>
Participate in code reviews, architectural discussions, and cross-functional sprint planning to ensure delivery of high-quality, production-grade data products.</li></ul> 
What You Need
Knowledge<ul><li>
Strong understanding of data engineering principles including data modelling, warehousing, and pipeline architecture.</li><li>
Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and SNOMED CT.</li><li>
Knowledge of cloud platforms (AWS, Azure, or GCP) and their managed data services.</li></ul>
Abilities<ul><li>
Ability to write clean, efficient, and well-documented code in Python and SQL.</li><li>
Ability to independently own and deliver data pipeline projects end-to-end, from requirements gathering to production deployment.</li><li>
Ability to troubleshoot complex data issues and communicate findings clearly to both technical and non-technical stakeholders.</li></ul>
Credentials &amp; Experience<ul><li>
 3&ndash;6 years of hands-on experience in data engineering or a closely related role.</li><li>
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.</li><li>
Proven experience with distributed processing frameworks such as Apache Spark or Kafka.</li><li>
Experience with orchestration tools (Apache Airflow, Prefect, or similar) to manage complex workflow dependencies.</li><li>
Prior experience working in healthcare IT or with clinical/claims datasets is strongly preferred.</li></ul>
Preferred Skills<ul><li>
Proficiency in dbt (data build tool) for analytics engineering and data transformation workflows.</li><li>
Experience with real-time streaming pipelines using Apache Kafka or AWS Kinesis.</li><li>
Familiarity with data observability and monitoring tools such as Monte Carlo, Great Expectations, or similar.</li><li>
Understanding of HIPAA, PDPL (Saudi Personal Data Protection Law), and data privacy best practices in a healthcare context.</li><li>
Experience working in an Agile/Scrum environment with cross-functional global teams.</li><li>
Knowledge of Arabic language is a plus for stakeholder communication within the KSA market.</li></ul>
We offer competitive benefits to set you up for success in and outside of work. 
Here&rsquo;s What We Offer<ul><li>
Generous Leaves: Enjoy generous leave benefits of up to 40 days.</li><li>
Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition.</li><li>
Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most.</li><li>
Care Program: Whether it&rsquo;s a celebration or a time of need, we&rsquo;ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need.</li><li>
Financial Assistance: Life happens, and when it does, we&rsquo;re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most.</li></ul>
Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.
Disclaimer:
Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. 
About Innovaccer
Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com.
Check us out on YouTube, Glassdoor, LinkedIn, Instagram, and the Web</div>

4261- Data Engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 
 
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
 
 
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
 </li>
 <li>
 Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
 </li>
 <li>
 Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
 </li>
 <li>
 Develop automated data quality checks and workflows for continuous monitoring and remediation.
 </li>
 <li>
 Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
 </li>
 <li>
 Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
 </li>
 <li>
 Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
 </li>
 <li>
 Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
 </li>
 <li>
 Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
 </li>
 <li>
 Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
 </li>
 <li>
 Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
 </li>
 <li>
 Conduct root cause analysis and lead remediation programs for chronic data issues.
 </li>
 <li>
 Mentor junior engineers and promote data quality best practices across teams.
 </li>
 <li>
 Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
 </li>
 <li>
 Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
 </li>
 <li>
 Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
 </li>
 <li>
 Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
 </li>
 <li>
 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
 </li>
 <li>
 Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
 </li>
 <li>
 Strong expertise in data profiling, rule design, standardization, and exception management.
 </li>
 <li>
 Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
 </li>
 <li>
 Deep understanding of data governance frameworks and collaboration with data stewards.
 </li>
 <li>
 Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
 </li>
 <li>
 Strong communication skills for presenting findings and recommendations to business stakeholders.
 </li>
 <li>
 Experience mentoring junior engineers or managing small DQ workstreams.
 </li>
 <li>
 CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
 </li>
 <li>
 Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
 </li>
 <li>
 Understanding of data lineage, root cause analysis, and impact assessment.
 </li>
 <li>
 Knowledge of metadata management and integration with data catalogs.
 </li>
 <li>
 Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
 </li>
 <li>
 Ability to automate DQ workflows through orchestration or CI/CD pipelines.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
</div>

Data 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

Ninja 🥷🏽 نينجا

<div>
 We are looking for a Data Warehouse Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.
 
 
 If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data warehouse solutions that support our rapidly growing international business
 </li>
 <li>
 Build and evolve our enterprise data warehouse to enable advanced analytics, reporting, and data-driven decision-making across the organization
 </li>
 <li>
 Develop and optimize ETL/ELT pipelines for batch and near real-time data processing
 </li>
 <li>
 Support analytical and machine learning workflows by providing reliable and well-structured datasets
 </li>
 <li>
 Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Google Analytics, BigQuery, Google Ads, Adjust, PostgreSQL, MySQL, and others)
 </li>
 <li>
 Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards
 </li>
 <li>
 Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability
 </li>
 <li>
 Evaluate and recommend new technologies, tools, and architectural approaches to enhance our data ecosystem
 </li>
 <li>
 Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of professional experience in Data Engineering, Data Warehousing, or a related field
 </li>
 <li>
 Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline
 </li>
 <li>
 Strong expertise in SQL and relational database concepts, including data modeling and query optimization
 </li>
 <li>
 Experience designing and maintaining data warehouse architectures
 </li>
 <li>
 Hands-on experience with columnar databases and performance optimization techniques
 </li>
 <li>
 Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow
 </li>
 <li>
 Solid programming skills in Python or Java, with a preference for Python
 </li>
 <li>
 Good understanding of Linux environments and scripting (Bash)
 </li>
 <li>
 Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies
 </li>
 <li>
 Familiarity with data integration, ETL/ELT frameworks, and large-scale data processing
 </li>
 <li>
 Strong communication skills in English
 
 
 
 </li>
 </ul>
 
 What Makes You Successful
 
 
 
 <ul>
 <li>
 You are a proactive problem solver who enjoys tackling complex technical challenges
 </li>
 <li>
 You have a strong attention to detail and a passion for building reliable, high-quality data solutions
 </li>
 <li>
 You take ownership of your work and can operate independently when needed
 </li>
 <li>
 You are collaborative, curious, and enjoy sharing knowledge with others
 </li>
 <li>
 You think beyond immediate requirements and continuously look for opportunities to improve systems, processes, and technologies
 </li>
 </ul>
</div>

Data Warehouse Engineer (f/m/d)

Mirai, a Scopely company

<div>
 Our Generative AI products are only as good as the data behind them. This role owns that data layer from end to end: the pipelines that bring data in, the transformations that shape it, and the way it reaches retrieval systems, agents, and analytics. The work runs on AWS, and the aim is a single governed source that every consumer can rely on.
 
 
 We want someone who has already built data pipelines for AI systems, not only for reporting. Preparing data for an LLM or an agent brings its own work around chunking, embeddings, indexing, and keeping content current, and you have done it before. The team is small and spans several languages, so you will own your pipelines and help set the standards the rest of us follow.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Build and run the batch and streaming pipelines that move data from source systems into the lake and through to the warehouse, owning the layers in between from raw to curated, along with their schema, quality, and lineage
 </li>
 <li>
 Build the data layer behind retrieval: source connectors, document parsing, chunking, embedding generation, and vector indexing, including re-embedding when content changes
 </li>
 <li>
 Model curated, query-ready datasets and metrics so AI and analytics consumers work from one definition instead of each rebuilding the logic
 </li>
 <li>
 Add quality checks, validation, and monitoring so problems surface before they reach a model or a user
 </li>
 <li>
 Apply access control where it belongs: row and column level rules, PII handling, and entitlement-aware datasets, enforced as close to query time as the stack allows
 </li>
 <li>
 Work with the platform and DevOps engineers to expose data and retrieval as documented, dependable services
 </li>
 <li>
 Keep storage, compute, and query costs in check, with particular attention to the cost of embedding and vector workloads
 </li>
 <li>
 Review code, write the documentation, and help shape how the team builds its data layer
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Eight or more years in data engineering overall. That includes hands-on work building data for AI or ML systems such as retrieval, embeddings, or feature data, which can be a more recent part of your background
 </li>
 <li>
 Strong SQL and strong Python, including PySpark or similar distributed processing
 </li>
 <li>
 Production experience across the AWS data stack: S3 for the lake, Glue for ETL and the Data Catalog, Athena for serverless query, and Redshift as the warehouse
 </li>
 <li>
 Hands-on experience with a layered data architecture, whether you call it medallion (bronze, silver, gold), a data lake feeding a warehouse, or a lakehouse, including building the transformation stages that move data from raw to curated
 </li>
 <li>
 Experience with an ELT or integration tool such as Airbyte, Fivetran, or Meltano, including building or maintaining connectors
 </li>
 <li>
 Experience with event-driven pipelines using SQS and SNS, and with at least one streaming or change-data-capture technology such as Kinesis, Amazon MSK, or Debezium
 </li>
 <li>
 Hands-on experience with a semantic or metrics layer over the warehouse, such as Cube or the dbt Semantic Layer
 </li>
 <li>
 Hands-on experience with at least one vector store and embedding workflow: pgvector, Amazon OpenSearch, Pinecone, Weaviate, or Milvus
 </li>
 <li>
 Comfort with columnar and open table formats: Parquet together with Apache Iceberg, Delta Lake, or Hudi
 </li>
 <li>
 Working knowledge of an orchestrator such as Amazon MWAA, Step Functions, Dagster, or Prefect, and enough infrastructure as code to work closely with DevOps
 </li>
 </ul>
</div>

Senior Data Engineer

2P Perfect Presentation

<div>
 
 We are seeking a highly skilled Senior .NET Backend Developer to design, develop, and maintain enterprise-grade backend systems, APIs, and integrations. The ideal candidate will have strong expertise in Microsoft technologies, software architecture principles, database development, and secure application design while contributing to scalable and high-performance digital solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain backend services and Web APIs using .NET Core, ASP.NET Core, C#, MVC, and RESTful APIs.
 </li>
 <li>
 Build scalable, secure, and high-performance enterprise applications following modern software engineering best practices.
 </li>
 <li>
 Design and optimize database structures, stored procedures, queries, and indexing using SQL Server and T-SQL.
 </li>
 <li>
 Develop and maintain applications using ASP.NET MVC, Razor Pages, Entity Framework Core, and Dependency Injection.
 </li>
 <li>
 Implement authentication and authorization mechanisms using ASP.NET Identity, OAuth2, and OpenID Connect (OIDC).
 </li>
 <li>
 Integrate enterprise systems such as Microsoft Dynamics 365 CRM, SharePoint, and third-party platforms through REST and SOAP services.
 </li>
 <li>
 Collaborate with frontend developers and UI/UX teams to deliver integrated end-to-end solutions.
 </li>
 <li>
 Deploy, host, and maintain applications on IIS, Azure environments, and containerized platforms.
 </li>
 <li>
 Participate in CI/CD implementation using Azure DevOps, GitHub Actions, or equivalent tools.
 </li>
 <li>
 Conduct code reviews, enforce coding standards, and mentor junior developers.
 </li>
 <li>
 Develop and maintain unit and integration tests to ensure code quality and system reliability.
 </li>
 <li>
 Troubleshoot, diagnose, and resolve application and performance issues.
 </li>
 <li>
 Maintain technical documentation including APIs, architecture diagrams, deployment procedures, and development standards.
 </li>
 <li>
 Participate in Agile development activities including sprint planning, estimation, reviews, and retrospectives.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Technology, or an equivalent field.
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 Minimum of 5 years of hands-on experience as a .NET Backend Developer.
 </li>
 <li>
 Proven experience developing enterprise web applications and backend services using Microsoft technologies.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 .NET Core / ASP.NET Core
 </li>
 <li>
 C#
 </li>
 <li>
 ASP.NET MVC
 </li>
 <li>
 ASP.NET Razor
 </li>
 <li>
 Entity Framework Core (EF Core)
 </li>
 <li>
 Web API Development
 </li>
 <li>
 Object-Oriented Programming (OOP)
 </li>
 <li>
 SOLID Principles and Design Patterns
 </li>
 <li>
 Dependency Injection (DI)
 </li>
 <li>
 Database Design and Optimization
 </li>
 <li>
 SQL Server, T-SQL, and Indexing
 </li>
 <li>
 ASP.NET Identity
 </li>
 <li>
 OAuth2 and OpenID Connect (OIDC)
 </li>
 <li>
 JavaScript and jQuery
 </li>
 <li>
 IIS Hosting and Application Deployment
 </li>
 <li>
 Git and TFS
 </li>
 <li>
 Visual Studio and VS Code
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with Azure Cognitive Services, ML.NET, or AI-enabled application development.
 </li>
 <li>
 Knowledge of Docker and containerized deployments.
 </li>
 <li>
 Experience with Azure DevOps and CI/CD pipelines.
 </li>
 <li>
 Familiarity with cloud-native application architecture and microservices.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to design scalable and maintainable software solutions.
 </li>
 <li>
 Strong understanding of software architecture and secure coding practices.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 <li>
 Ability to work effectively in Agile and fast-paced development environments.
 </li>
 </ul>
 
 
</div>

Senior Back-End .NET Developer

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