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Are you a passionate and driven Senior Dynamics 365 CE developer, looking for an opportunity to work for a leading, well-established Microsoft Partner? Would you like to gain exposure to leading projects & staff on large scale implementations? This could be the right job for you.

We are currently recruiting for an award winning Microsoft Gold Partner, they require an additional Senior developer to join there team of senior professionals and manage the junior members of staff. In addition to this you will be responsible for account managing large corporate clients, architecture of implementations of Dynamics 365.

To be eligible for this role, the attributes you must have are;

* 8+ years in Microsoft CRM/Dynamics 365 CE Development
* Consulting experience
* Dynamics 365 experience
* 5+ years in .net/ c#/ javascript programming.
* Experience mentoring junior developers
* Experience with architecture would be beneficial

This role will not only benefit from a financial perspective but will allow you to work in an amazing culture and gain a good work life balance.

If you feel you would be well-suited to the job, please get in touch as you as you can, as this client are looking to fill the positions in the coming weeks.

To apply for this vacancy or enquire into any other unique Microsoft Dynamics opportunities don't hesitate to send your CV to Emma Townsend at e.townsend@tenthrevolution.com or call +44 191 230 1883

Nigel Frank International Ltd is acting as an Employment Agency in relation to this vacancy.
Nigel Frank International is the leading Dynamics CRM recruitment firm globally, advertising more Dynamics jobs than any other agency. We deal with both Microsoft Partners and End Users throughout Africa and the Globe and we have never had more live requirements jobs for Microsoft Dynamics CRM professionals. By specialising solely in placing candidates in the market I have built relationships with key employers in Africa and have an unrivalled understanding of where the best opportunities & Dynamics CRM jobs are.

Keywords: Microsoft / senior developer / developer/ programming/ CRM/ MS CRM/ MS Dynamics/ Microsoft Dynamics/ Microsoft CRM / crm 2015 / crm 2013 / crm 2011/ Dynamics 365 CE

Data Engineer - Automotive

We are looking for a skilled Data Engineer to help design and build the next generation of data platforms that power large-scale telematics, IoT, and fleet-management systems. In this role, you will work with high-volume, real-time data generated from connected devices, vehicles, sensors, and safety systems, and help transform this data into reliable, accessible, analytics-ready products.

You will play a key part in modernising our data ecosystem across Azure and AWS, enabling scalable ingestion, advanced analytics, machine learning, and real-time operational insights for internal teams and enterprise clients.

What You'll Do

Core Responsibilities

* Design and build cloud-native data pipelines for high-velocity telematics and IoT data using Azure and AWS services.
* Develop and maintain data lake / lakehouse architectures (S3, ADLS, Delta Lake, Iceberg).
* Implement streaming and batch processing frameworks using tools such as Spark, Databricks, Kinesis, Event Hub or Kafka.
* Build reliable ETL/ELT jobs for preparing and curating bronze/silver/gold datasets.
* Support real-time analytics, including geofencing, driver behaviour analysis, alerting, and operational monitoring.
* Create and maintain data APIs, microservices, and integrations for internal teams and external partners.
* Work closely with ML engineers to enable feature stores, training datasets, and productionised ML workflows.
* Implement robust data governance, POPIA compliance, lineage, and access controls across the data environment.
* Participate in the modernisation and migration of legacy data systems to cloud platforms.
* Optimise for reliability, cost efficiency, performance, and scalability.

What You'll Bring

Essential Skills

* Experience building data platforms on both Azure and AWS.
* Strong skills in Python, SQL, and distributed processing frameworks (e.g., Spark).
* Hands-on expertise with:

* Azure Data Factory, Event Hub, Databricks, ADLS
* AWS Glue, S3, Lambda, Kinesis, API Gateway

* Experience with streaming architectures and real-time data processing.
* Understanding of data lakehouse design, metadata management, and data modelling.
* Familiarity with IoT or telematics-style data (high-volume events, time-series data) is a strong advantage.

Nice to Have

* Knowledge of containerisation (Docker, Kubernetes).
* Experience with infrastructure-as-code (Terraform, CloudFormation, Bicep).
* Exposure to ML pipelines, driver scoring, or predictive maintenance models.
* Background in fleet, IoT, logistics, telecoms, or similar data-heavy industries.

What We Offer

* Work on high-impact, real-time data systems used by thousands of businesses and millions of devices.
* Opportunities to innovate within cloud, IoT, telematics, and AI-driven analytics.
* A modern engineering environment with autonomy, collaboration, and continuous learning.
* Competitive salary, benefits, and growth opportunities.

Join a dynamic team committed to driving innovative data solutions! We are seeking a skilled Data Analytics and AI Lead to enhance our capabilities and lead transformative projects. This hybrid role, based in Cape Town, offers you the opportunity to make a significant impact within the Big Data/Analytics and AI & Machine Learning sectors. You will play a key role in leveraging advanced analytics to deliver insights that drive business decisions.

**Key Responsibilities:**
- Utilize Azure Databricks for data processing and analytics.
- Implement and manage workflows using Azure DevOps (VSTS).
- Design and deploy IaaS solutions to support analytics initiatives.
- Collaborate within a diverse team to foster a culture of innovation and continuous improvement.

**Core Requirements:**
- Proven experience with Azure Databricks and Azure DevOps (VSTS).
- Strong understanding of IaaS concepts and implementation.
- Excellent problem-solving and communication skills.
- Ability to work in a hybrid work environment.

The expected start date for this permanent position is November 1, 2025. Alongside a supportive work culture, you will enjoy core benefits including a Pension Retirement Savings Plan and Medical Insurance. If you are ready to take the lead in an exciting role that values your expertise, we invite you to apply.

Senior DevOps Engineer

An established technology-driven organisation is looking for a Senior DevOps Engineer to lead the design, automation, and optimization of scalable, secure, and high-performing systems. The ideal candidate will bring a balance of hands-on technical expertise, strong operational discipline, and the ability to drive engineering best practices across teams.

Key Responsibilities

Infrastructure & Automation

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Design, deploy, and maintain Kubernetes clusters for reliable, large-scale application delivery.
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Develop automation scripts using tools such as Bash, Python, PowerShell, and YAML to enhance build, deployment, and monitoring efficiency.
*

Build and optimize CI/CD pipelines and implement infrastructure-as-code (IaC) using technologies like Terraform, Ansible, Jenkins, GitHub Actions, or Azure DevOps.
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Champion automation and observability practices across the full software delivery lifecycle (SDLC).

Security & Compliance

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Enforce cloud and infrastructure security best practices, incorporating DevSecOps principles.
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Manage database operations and ensure secure, efficient performance across systems.
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Support compliance initiatives by ensuring systems adhere to governance and regulatory standards.

Collaboration & Delivery

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Work closely with software engineering, QA, security, and infrastructure teams to deliver reliable, scalable solutions.
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Provide technical guidance and mentorship to promote a culture of continuous learning and improvement.
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Liaise with stakeholders to clarify technical requirements and align DevOps initiatives with business needs.

Performance & Continuous Improvement

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Monitor system performance and resolve production issues to ensure high availability and resilience.
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Document configurations, automation processes, and best practices for internal teams.
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Keep up to date with emerging DevOps technologies and recommend improvements to existing systems.

Key Deliverables

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Scalable Infrastructure: Robust, automated Kubernetes and cloud environments supporting continuous growth.
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Efficient CI/CD: Streamlined pipelines accelerating delivery and reducing deployment risk.
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Enhanced Security: Implementation of DevSecOps principles ensuring compliance and reliability.
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Continuous Improvement: Optimization of systems and processes through innovation and mentorship.
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Clear Communication: Well-documented processes and knowledge sharing across technical teams.

Experience & Skills

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7+ years of practical DevOps experience in complex, multi-environment ecosystems.
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Proven expertise with Kubernetes administration and advanced kubectl usage.
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Strong scripting and automation capabilities using Bash, Python, PowerShell, or YAML.
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Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
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Proficiency across major cloud environments (AWS, Azure, GCP).
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Working knowledge of the SDLC and modern project delivery methodologies.
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Solid understanding of security practices for cloud and containerized systems.
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Experience managing infrastructure-as-code (Terraform, Ansible).
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Familiarity with database systems, reporting tools, and monitoring platforms is advantageous.
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Excellent analytical, troubleshooting, and communication skills.
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Ability to collaborate effectively across teams while maintaining high levels of autonomy and accountability.
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Passion for automation, innovation, and operational excellence.

Qualifications

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Bachelor's degree in Computer Science, Information Systems, or a related discipline (or equivalent practical experience).

Would you like me to turn this version into a LinkedIn job post format next -

Join a dynamic team where your expertise can drive innovation in the cloud. Our client, a leader in Big Data and Analytics, is seeking two experienced AWS Cloud Platform Engineers for a permanent position based in Foreshore, Cape Town. This hybrid role offers an exciting opportunity to collaborate within a team dedicated to shaping the future of data solutions.

Key skills required for this role include:
- Proficiency in Amazon S3 and AWS services
- Experience in data warehousing and ETL processes
- Familiarity with Big Data technologies and tools, such as DataBricks
- Capability to implement and manage cloud-based data solutions
- Strong analytical skills and team-oriented mindset

The successful candidates will have the chance to contribute to impactful projects and enhance their skills in a supportive environment. The expected start date for this position is November 1, 2025. Core benefits include a retirement savings plan with pension contributions and medical insurance.

If you are a collaborative IT professional with relevant experience, we invite you to apply for this exciting opportunity. Your contributions could play a vital role in advancing the client's data initiatives.

**Join a dynamic team shaping the future of data analytics!**

We are excited to announce an opportunity for a Data Analytics Engineer within a forward-thinking organisation in Cape Town. This hybrid role invites talented individuals who are passionate about leveraging data for impactful decision-making. As part of a collaborative team focused on Big Data, Analytics, and AI, you will have the chance to contribute significantly to innovative projects.

**Key Responsibilities:**
- Utilise Azure Databricks for data processing and analysis.
- Apply data science techniques to derive meaningful insights.
- Develop and maintain Microsoft Business Intelligence solutions.
- Create interactive reports and dashboards using MS Power BI.

This permanent position is set to start on November 1, 2025, and offers a comprehensive benefits package, including a Pension Retirement Savings Plan, medical insurance, and more.

If you are eager to make a meaningful impact in a growing organisation that values collaboration and innovation, we encourage you to apply for this exciting opportunity. Your expertise could be the key to driving success in this role!

Be part of a forward-thinking environment dedicated to customer value!

We are seeking a Data Scientist to join a dynamic team in Sandton, focusing on enhancing customer value streams. This permanent, hybrid position offers a unique opportunity to apply your machine learning expertise while contributing to impactful projects within the Data Science team. The expected start date for this role is November 1, 2025.

Key Responsibilities and Skills Required:

- SAS, AWS, BedrockAI, SQL, Python
- Proficient in machine learning techniques and methodologies.
- Experience in data analysis and interpretation, driving data-driven decisions.
- Ability to collaborate with cross-functional teams to optimise customer value streams.
- Strong problem-solving skills and innovative thinking in a fast-paced environment.
- Excellent communication abilities to convey complex insights to non-technical stakeholders.

This is an excellent opportunity for candidates looking to make a meaningful impact in a collaborative setting. If you are passionate about leveraging data to enhance customer experiences and meet business goals, we encourage you to apply for this role. Your insights and expertise can shape the future of customer value at our client's company.

Head of Data & Analytics

An established organisation is seeking an experienced Head of Data & Analytics to lead its data function and drive innovation through analytics, machine learning, and insight-led strategy. This senior role involves shaping the company's data vision, scaling a high-performing analytics team, and ensuring data-driven decision-making across all business areas.

Key Responsibilities

Leadership & Strategy

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Define and deliver a comprehensive data strategy aligned to business objectives.
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Build, lead, and mentor a multidisciplinary team of data scientists, engineers, and analysts.
*

Partner with senior stakeholders across technology, finance, commercial, and operations to implement impactful data initiatives.

Technical Delivery

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Oversee the design, development, and deployment of advanced analytics and machine learning models.
*

Champion best practices in experimentation, data science governance, and model lifecycle management.
*

Stay current with emerging technologies in AI/ML to maintain a culture of continuous innovation.

Business Enablement

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Translate data into clear, actionable insights that inform strategy and performance.
*

Quantify and communicate the ROI of key data projects.
*

Identify opportunities to leverage data for competitive advantage, customer insight, and operational improvement.

Data Infrastructure & Governance

*

Ensure data platforms and pipelines are scalable, secure, and reliable.
*

Promote strong data governance, accuracy, privacy, and ethical AI practices.

Reporting & Collaboration

*

Ensure timely delivery of analytical reports and dashboards to stakeholders.
*

Collaborate with internal teams to resolve data discrepancies and improve reporting consistency.

Required Experience

*

8+ years' experience in data science or advanced analytics roles.
*

At least 3 years in a leadership or people management capacity.
*

Proven ability to communicate technical insights to senior, non-technical audiences.
*

Strong commercial awareness and problem-solving capability.
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Deep experience with statistical modelling, predictive analytics, and machine learning.
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End-to-end project ownership of data science solutions from concept to production, including ML life cycle management (e.g., MLflow, Weights & Biases).
*

Exposure to streaming technologies (Kafka, Kinesis, Azure Event Hubs).
*

Proficiency in Python, R, SQL, and common ML frameworks (scikit-learn, TensorFlow, PyTorch).
*

Familiarity with cloud data environments (AWS, Azure, GCP) and orchestration tools such as Airflow, Spark, DBT, or Purview.

Qualifications

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Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, or related discipline preferred.

If you're a strategic data leader passionate about scaling teams and delivering measurable business value through data, we'd love to connect.

About the Role

We're seeking an experienced AI Engineer to lead the design and implementation of AI-driven solutions within a complex enterprise environment. This is a strategic role requiring strong technical depth and the ability to influence architecture decisions at an enterprise level. You'll work closely with senior stakeholders to shape AI road maps and deliver impactful solutions.



Key Responsibilities:



*

Consulting & Advisory:

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Assess and prepare data sources for AI readiness, including APIs.

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Provide strategic guidance on business process improvement using generative AI.

*

Implementation & Integration:

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Deploy AI capabilities leveraging Microsoft technologies such as Copilot Studio (Lite & Full) and Azure AI Foundry.

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Integrate AI solutions into Dynamics 365 (D365) environments.

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Architecture & Strategy:

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Lead architecture discussions and create solution roadmaps from scratch.

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Ensure data readiness and security for AI applications, including cybersecurity considerations.

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Cross-Platform Expertise:

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Evaluate and incorporate AI offerings beyond Microsoft's ecosystem (AWS Bedrock, GCP).

*

Explore model concept protocols and multi-cloud strategies



What We're Looking For

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Solid technical foundation with senior-level C# development experience.

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Strong understanding of AI architecture, data integration, and Azure AI Foundry.

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Ability to hold your own in architecture discussions and communicate complex ideas clearly.

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Experience in enterprise environments, ideally banking or large corporate settings.

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Familiarity with Dynamics 365, Copilot Studio, and generative AI applications.

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Bonus: Knowledge of AWS Bedrock, GCP, and data security best practices for AI.



Why This Role?

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Full-time allocation to a major enterprise AI initiative.

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Opportunity to influence strategic decisions and work on cutting-edge AI projects.

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Join a team that's ahead of the curve in implementing AI solutions at scale.

Principal Machine Learning Engineer - Johannesburg (Hybrid) / Cape Town (Remote)

Full-time | Permanent

A leading technology and data-driven organisation is looking for an exceptional Principal Machine Learning Engineer to join their Intelligent Data team. This is a senior, high-impact role driving the architecture, strategy, and delivery of advanced AI and machine learning systems.



The Opportunity

You will provide both technical and strategic leadership, shaping the next generation of real-time AI solutions. The team builds high-performance, production-grade systems with a strong emphasis on engineering excellence, governance, and scalable design.

Examples of the types of projects you may contribute to include:

*

Real-time fraud prevention systems analysing behavioural and financial signals to stop fraudulent transactions instantly.
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Advanced event-driven telemetry solutions processing real-time device data to reduce false alerts and automate critical decisioning.
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Cutting-edge LLM-based initiatives within an organisation with several years of production experience in applied generative AI.

This role suits a hands-on engineering leader who is passionate about building robust platforms, driving ML strategy, and inspiring a world-class technical team.

Key Responsibilities

Technical & Architectural Leadership

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Lead the design and architecture of complex, real-time, scalable ML systems.
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Resolve advanced engineering challenges and guide high-level architectural decisions.
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Provide deep expertise in data streaming and event-driven tooling.
*

Evaluate new technologies and keep the practice at the forefront of industry innovation.

Strategic Contribution

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Partner with leadership to define and evolve ML strategy and platform direction.
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Research emerging tools and trends (LLMs, Generative AI, AI assistants) and apply them to real use cases.

Team Leadership & Mentorship

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Coach, mentor, and uplift a high-performing technical team.
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Drive best practices, code quality, and engineering excellence.

Thought Leadership & Communication

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Represent the ML discipline effectively, presenting to internal and external audiences.
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Contribute to content, talks, and community engagement.

Ideal Candidate Profile

This individual is a rare combination of technical depth, architectural thinking, leadership, and communication excellence.

Non-negotiables:

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Hands-on ML Engineer: Proven track record building full end-to-end ML and AI application ecosystems.
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Streaming & Platform Expertise: Strong experience with Kafka, Flink, Beam, or similar.
*

Multi-cloud engineering: Strongest in AWS, with exposure to GCP and Azure.
*

Technical versatility: Deep experience across Python, Go, Java, C#, or similar languages.
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Leadership: Demonstrated ability to mentor, lead, and inspire engineering teams.
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Communication: Ability to translate complex concepts for both technical and non-technical audiences; public speaking or content creation a plus.

Technical Skill Matrix

CategoryTechnologies / Concepts
Cloud PlatformsAWS, GCP, Azure
Data StreamingKafka, Flink, Beam
ProgrammingPython, Go, Java, C#, JavaScript
ArchitectureMicroservices, Event-Driven Architecture, Kubernetes, Docker
Data & MLStructured & unstructured data, semi-supervised learning, ML ops tooling
DatabasesSQL (MS SQL, MySQL), NoSQL (MongoDB), Graph (Neo4j)
ProcessAgile (Scrum, Kanban)