Intetics

ServiceNow

• Analyze and document IT operations and asset management processes.
• Collaborate with infrastructure, operations, and asset management teams.
• Define requirements for CMDB, Discovery, Event Management, and asset lifecycle management.
• Convert business needs into scalable ServiceNow solutions.
• Support process optimization and digital transformation initiatives.
• Conduct gap analyses and process assessments.

Senior Business Analyst – ServiceNow ITOM, ITAM

• Gather and analyze business requirements from stakeholders.
• Lead workshops and facilitate discussions with business and technical teams.
• Design and optimize portfolio management, project management, demand management, and resource management processes.
• Translate business requirements into ServiceNow SPM solutions.
• Support solution design, testing, and implementation activities.
• Act as a bridge between business stakeholders and technical teams.

Senior Business Analyst – ServiceNow SPM

Artificial Intelligence

• Develop enterprise Data and AI strategies aligned with business objectives.
• Conduct Data and AI maturity assessments and recommend improvement roadmaps.
• Define analytics operating models, governance structures, and decision-making processes.
• Identify and prioritize BI, AI, ML, GenAI, and NLP use cases.
• Develop AI-ready data platform and modernization strategies.
• Advise on responsible AI principles, governance, and risk management.
• Facilitate workshops and present strategic recommendations to executive stakeholders.
• Support organizations in planning and implementing long-term data and AI initiatives.

Data Strategy – AI Advisory

Data Engineer

• Design enterprise data platform and solution architectures.
• Define integration patterns between on-premises systems and Azure services.
• Design Microsoft Fabric architectures, including Lakehouse, Warehouse, OneLake, and semantic models.
• Develop scalable data models and enterprise integration solutions.
• Define metadata, lineage, data quality, and governance standards.
• Design secure and cost-efficient enterprise data architectures.
• Produce architecture documentation, standards, and technical guidelines.
• Collaborate with engineering and business teams to ensure successful solution implementation.

Enterprise Data Architect

Risk

• Develop and implement enterprise data governance frameworks and operating models.
• Define and maintain data quality rules, controls, and governance processes.
• Manage business glossaries, data dictionaries, metadata, and data lineage.
• Support master data and reference data management initiatives.
• Establish data classification, retention, and privacy policies.
• Collaborate with business, IT, security, and data owners to improve governance practices.
• Support governance of analytical models and AI solutions.
• Promote data quality, compliance, and continuous governance improvements.

Data Governance Specialist

Data Analyst

• Gather and analyze business requirements from stakeholders.
• Translate business needs into functional and analytical specifications.
• Analyze and profile enterprise data to ensure quality and consistency.
• Develop KPIs, reporting frameworks, and analytical models.
• Perform forecasting, scenario modeling, and statistical analysis.
• Validate dashboards, reports, and analytical outputs.
• Collaborate with business and technical teams to deliver data-driven solutions.

Business/Data Analyst, Data Scientist

Business Intelligence Developer

• Develop and maintain enterprise Power BI dashboards and analytical reports.
• Design reusable semantic models, datasets, and dataflows.
• Build and optimize DAX calculations and Power Query transformations.
• Implement security models, including Row-Level Security (RLS).
• Optimize report performance and troubleshoot BI solutions.
• Develop and maintain Microsoft Fabric solutions, including Lakehouse, Warehouse, OneLake, and Data Factory.
• Integrate Power BI with Azure Data Lake, Azure SQL, and enterprise data platforms.
• Support deployment, testing, release processes, and documentation.

Power BI Developer

Analytics Engineer

• Designing, developing, and maintaining reliable data pipelines connecting enterprise systems, Azure Data Lake, Azure SQL, Microsoft Fabric, and Power BI.
• Working on data integration, transformation, and optimization.
• Ensuring high-quality, secure, and efficient data flows that support enterprise analytics and reporting.

Data Engineer – ETL, ELT

AI Engineer

• Develop, deploy, and maintain machine learning solutions supporting predictive analytics and AI-driven decision-making.
• Work with Azure technologies, enterprise data platforms, and MLOps practices.
• Deliver scalable, reliable, and business-focused AI applications.

AI/ML Engineer

• Developing and maintaining GIS applications and geospatial solutions.
• Performing spatial analysis and processing geospatial datasets.
• Building and maintaining geospatial ETL pipelines.
• Developing integrations with ArcGIS, QGIS, and enterprise analytics platforms.
• Working with spatial databases and web mapping services.
• Ensuring data quality, consistency, and proper documentation of spatial models.
• Collaborating with cross-functional teams to deliver geospatial insights and analytical solutions.

GIS Developer – Geospatial Analyst

Support Engineer

• Investigate and resolve L2/L3 production incidents.
• Support Power BI datasets, gateways, semantic models, and dashboard environments.
• Troubleshoot ETL pipelines, data integration processes, and data quality issues.
• Support GIS platforms and spatial data services.
• Perform root cause analysis and implement long-term solutions.
• Monitor system performance and proactively identify potential issues.
• Support software releases, patches, and platform upgrades.
• Maintain technical documentation, runbooks, and knowledge base articles.
• Collaborate with business users and engineering teams to ensure timely issue resolution.

L2 / L3 Support Engineer

Database Administrator

• Administer and maintain Azure SQL and Oracle database environments.
• Monitor database performance, optimize queries, indexes, and storage utilization.
• Manage backup, recovery, disaster recovery, and high-availability solutions.
• Implement database security, access control, auditing, and encryption.
• Support schema deployments and database change management.
• Troubleshoot database performance, data-loading, and integration issues.
• Support development, testing, and production database environments.

Systems Engineer

• Design, develop, and maintain embedded firmware according to product requirements.
• Implement new features and enhancements using C and C++.
• Contribute to firmware architecture and system-level design decisions.
• Participate in requirements analysis, feasibility studies, and technical risk assessments.
• Develop firmware for ARM Cortex-M microcontroller-based systems.
• Work with both Bare-Metal and FreeRTOS environments.
• Design and implement low-level drivers and hardware abstraction layers.
• Integrate and maintain communication interfaces and protocols, including UART, SPI, and I2C.
• Debug and validate embedded systems using development software and laboratory tools.
• Review, optimize, maintain, and extend existing firmware codebases.
• Support hardware development activities, including schematic and PCB reviews.
• Identify and define hardware requirements based on firmware and system needs.
• Prepare and maintain technical documentation using Doxygen, Confluence, or similar tools.
• Participate in code reviews and technical discussions.
• Collaborate closely with distributed firmware, hardware, architecture, and project teams.
• Deliver technical tasks and project milestones within agreed timelines.

Middle/Senior Embedded Engineer

Backend Engineer

• Design, develop, and maintain scalable backend services using Go.
• Build and support REST and gRPC APIs.
• Develop event-driven integrations using Kafka and/or RabbitMQ.
• Work with PostgreSQL and optimize database interactions.
• Take ownership of services throughout the full lifecycle, from design and implementation to deployment and production support.
• Ensure system scalability, high availability, reliability, and performance.
• Write and maintain backend tests.
• Monitor and troubleshoot services using Grafana and Prometheus.
• Collaborate with distributed international teams in an Agile/Scrum environment.
• Contribute to the integration of AI-powered functionality where applicable.

Middle/Senior Go Developer

SDET

• - Plan, design, and execute manual and automated test cases to validate product functionality, performance, and security.**- Perform functional, regression, smoke, and integration testing, ensuring coverage of positive, negative and edge cases.**- Map test cases to business requirements and functional designs, ensuring complete traceability.**- Document and report defects, verify bug fixes, and ensure timely resolution in collaboration with development teams.**- Maintain a strong understanding of processes, system flows, and data requirements to validate overall system behavior.
• - Develop and maintain automation frameworks to enhance efficiency, maintainability, and scalability.**- Implement automation scripts using Java and Selenium WebDriver, leveraging design patterns such as the Page Object Model.**- Integrate automated tests into CI/CD pipelines and identify opportunities to optimize test execution within DevOps workflows.
• - Continuously evaluate and recommend new technologies, tools, or processes that improve QA effectiveness.
• - Partner with QA Lead, developers, and product managers to define acceptance criteria and clarify requirements.**- Contribute to the definition and execution of the team’s quality assurance strategy and test plans.**- Support the transition of existing manual test cases into automated suites where appropriate.**- Evangelize quality assurance best practices within the engineering team.