Job Description

About Digital Technology

We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.

Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them. 

This opportunity is part of our Emerging Technology Group within Digital Technology. You will be responsible to drive the development of highly scalable backend services that will impact AI related products. As part of Digital Technology – you will be able to drive our customer zero strategy for ServiceNow product - we ensure the products works for us internally and delivers value as it gets in hands of our customers. With AI everywhere we are responsible for advance technology services which cuts across the enterprise like Search and Conversational Interfaces.

We are focused on accelerating innovations and developing new concepts, forward-thinking solutions and products leveraging ServiceNow’s Intelligent platform.

What our team values:

• Being humble and having each other’s backs.
• Learning new things and sharing expertise with each other—by answering a quick question on teams, pairing on a feature, or leading a lunch and learn session.
• Producing high quality work, we’re proud of, and not taking shortcuts.
• Having fun—we like to joke around, eat lunch together, and even hang outside of work.
• Leaving work at work, maintaining a sustainable pace (no big bangs, few big pushes).

What you get to do in this role:

• Design, implement, and maintain efficient, reusable, and reliable Python code.
• Architect and develop scalable, secure, and high-performance AI-driven software solutions.
• Integrate ML/AI capabilities into the ServiceNow platform.
• Help evolve the MLOps process our team follows.
• Lead code reviews, mentor junior engineers, and enforce best practices in coding, design, and architecture.
• Collaborate with cross-functional teams including product managers, ML engineers to build and deploy high-quality features.
• Work with cloud platforms (Azure, Databricks, GCP, AWS, etc.) to develop and deploy cloud-based solutions.
• Identify and resolve software defects through debugging and troubleshooting.
• Continuously improve existing codebases to increase maintainability, performance, and scalability.
• Drive the technical direction of key projects and ensure alignment with overall business goals.
• Ensure system security and data protection principles are embedded in solutions.
• Stay up to date with new tools, libraries, and trends in the Python and software development ecosystems.

Qualifications

• 5+ years of professional software development experience using Python.
• Strong understanding of design patterns, integration patterns/practice, data modeling principles, and best practices
• Experience with microservices architecture.
• Expertise in building and optimizing scalable back-end systems and APIs.
• Strong experience with web frameworks like Flask and FastAPI
• Familiarity with asynchronous programming and frameworks (e.g., AsyncIO, Celery).
• Solid understanding of relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB, Snowflake, Databricks, Redis, ElasticSearch, etc.).
• Experience with containerization technologies (e.g., Docker, Kubernetes) and cloud infrastructure (Azure, AWS, GCP, etc.).
• Proficient understanding of version control tools (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent problem-solving skills with a focus on performance tuning, scalability, and security.
• Strong communication and collaboration skills.
• Knowledge of machine learning frameworks or data science is a big plus.
• Familiarity with front-end technologies (JavaScript, React, HTML, CSS) is a plus.

#DTjobs

FD21

For positions in the Bay Area, we offer a base pay of $137,000 - $233,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

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Job Description

The Data Intelligence Tribe is responsible for leveraging Shippeo’s data from our large shipper and carrier base, to build data products that help our users (shippers and carriers alike) and ML models to provide predictive insights. This tribe’s typical responsibilities are to:

• get accurately alerted in advance of any potential delays on their multimodal flows or anomalies so that they can proactively anticipate any resulting disruptions

• extract the data they need, get direct access to it or analyze it directly on the platform to gain actionable insights that can help them increase their operational performance and the quality and compliance of their tracking

• provide best-in-class data quality by implementing advanced cleansing & enhancement rules

As a Data Engineer at Shippeo, your objective is to ensure that data is available and exploitable by our Data Scientists and Analysts on our different data platforms. You will contribute to the construction and maintenance of Shippeo’s modern data stack that’s composed of different technology blocks:

• Data Acquisition (Kafka, KafkaConnect, RabbitMQ),

• Batch data transformation (Airflow, DBT),

• Cloud Data Warehousing (Snowflake, BigQuery),

• Stream/event data processing (Python, docker, Kubernetes) and all the underlying infrastructure that support these use cases.

Qualifications

Required:

• You have a degree (MSc or equivalent) in Computer Science.

• 3+ years of experience as a Data Engineer.

• Experience building, maintaining, testing and optimizing data pipelines and architectures

• Programming skills in Python 

• Advanced working knowledge of SQL, experience working with relational databases and familiarity with a variety of databases.

• Working knowledge of message queuing and stream processing.

• Advanced knowledge of Docker and Kubernetes.

• Advanced knowledge of a cloud platform (preferably GCP).

• Advanced knowledge of a cloud based data warehouse solution (preferably Snowflake).

• Experience with Infrastructure as code (Terraform/Terragrunt)

• Experience building and evolving CI/CD pipelines (Github Actions).

Desired: 

• Experience with Kafka and KafkaConnect (Debezium).

• Monitoring and alerting on Grafana / Prometheus.

• Experience working on Apache Nifi.

• Experience working with workflow management systems such as Airflow.

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Job Description

With our partner from The Netherlands, we build platform dedicated to managing properties and making them more sustainable. You will work in a small team with mix of polish and dutch professionals in a fast paced start-up environment. Our team is a core development team, we work on newest technologies and have actual day to day impact on all of the decisions. Currently there are only senior developers in the project, but the team is likely to grow in the next months.

Your daily work includes programming, designing and implementing features and refinement together with the team and product owner. In addition, the work includes architectural design of the software, CI/CD tube and production environment together with the entire team. Some part of work is maintenance and technical support of the system

Qualifications

Expectations – the experience you need:

• React
• Node.js backend experience
• Some experience with relational DB

Additional skills – the edge you have:

• Knowledge of AWS
• Experience with microservices architecture and cloud deployment
• NoSQL DB
• Testing technologies (i.e. Jest, Cypress/Playwright)
• Kubernetes
• Github

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Job Description

Project – the aim you’ll have

We are looking for experienced PHP software engineers to join our team. We develop and maintain web applications, including an e-commerce platform that will be integrated with other platforms such as Idosell, Shoper, and Magento.

Position – how you’ll contribute
 

• Responsible for designing and implementing integration scenarios.
• Expected to implement sufficient unit tests.
• Involved in planning and executing integration tests.
• Responsible for preparing integration documentation.

Qualifications

Expectations – the experience you need:

• Min. 5 years of experience in PHP development (ver.8)
• Experience with Agile delivery methodology.
• Experience with RestfulAPI
• Practical knowledge of Docker
• Good knowledge of relational databases (MySQL)
• Taking care of software development standards (clean code) and knowledge of design patterns
• Focus on ensuring the highest possible code quality by creating unit tests as well as code review
• Experience with DDD, TDD, CQRS
• Knowledge of integration design patterns and best practices.
• Experience with GitHub and CI/CD processes.
• min. B2 level of Polish and English language

Additional skills:

• Knowledge of e-commerce platforms Idosell, Shoper, and Magento APIs 
• Knowledge of application security standards based on OWASP top 10
• Commercial experience with Kubernetes

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Job Description

• Azure Module Development: Create and maintain modules for provisioning and managing Azure resources, including Azure Synapse, Azure Storage Account, Azure SQL (both serverless and dedicated pool), Azure Data Factory, and Azure Container Instance. This involves scripting and infrastructure template coding using tools like Terraform or ARM Templates;
• PowerBI Integration: Collaborate with the internal Data Engineering team to ensure seamless integration between the Azure resources you manage and PowerBI. This may involve setting up ETL (Extract, Transform, Load) pipelines and optimizing performance for PowerBI reporting;
• Troubleshooting and Optimization: Identify and resolve issues related to the Azure resources you manage, ensuring they operate effectively and efficiently. Optimize resource performance and scalability as needed;
• Security and Compliance: Ensure Azure resources are configured according to company best practices for security and compliance. This includes implementing access policies and auditing;
• Stakeholder Collaboration: Work closely with internal Data Engineers, who are key stakeholders, to understand their needs and ensure Azure resources meet data analysis requirements;
• Documentation and Training: Maintain detailed documentation of resources and procedures to facilitate knowledge transfer and provide training as needed.

Qualifications

• Bachelor’s degree in IT or similar
• +5 years of experience in Azure Cloud
• Strong experience in TF and Module creation for following resources:
  • Azure Synapse
  • Azure Storage Account
  • Azure SQL with serverless or dedicated pool
  • Azure Data Factory
  • Azure Container Instance
• Experience in integration towards PowerBI (We have two internal Data Engineers which are key stakeholders)

• Experience with Terraform and Kubernetes

• Fluency in English

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Job Description

We seek passionate Machine Learning Engineer to develop robust solutions to real-world, large scale problems that have a direct impact on the business.  You should have a demonstrable experience in ML Engineering and working in a product model using Scrum.

As a Machine Learning Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full ML model lifecycle.

We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities.

If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AIML) team for global retail company.  With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. 

You’ll be designing and implementing scalable applications that leverage predictive models and optimization programs to deliver data driven decisions that result in incredible business impact.  You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. 

Qualifications

• 6+ years of relevant professional experience
• Ability to write robust, maintainable, and extendable code in Python
• Experience with SQL and Spark
• Knowledge of applied data science methods and machine learning algorithms
• Data wrangling experience with structured and unstructured data
• Experience with cloud architecture and technologies (preferably Amazon Web Services, Kubernetes, Docker, Terraform) and MLOps concepts, would be an asset
• Experience with SageMaker/ Kubeflow/ Tensorflow Extended
• Background in mathematics, statistics, or computer science.
• Familiar with principles of solution architecture and technical design
• Effective communication skills (with team members, the business, and in code)

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Job Description

Join our team as a Full Stack ASP.NET Developer, working for our customer who is a worldwide insurance and consulting services provider. You will play a crucial role in the development and maintenance of a large-scale data processing application, ensuring seamless data transformations. We look for well-rounded candidates with solid analytical skills, an enthusiasm for taking ownership of features, a strong commitment to quality, and the ability to work closely and communicate effectively.

Your responsibilities will include:

• Developing and maintaining the backend using ASP.NET 6.0 (updating to 8.0), with a focus on MVC architecture.
• Contributing to front-end development using jQuery to enhance user interfaces.
• Collaborating on a data processing application that converts XLSX files into XML formats based on configurable rules.

Qualifications

Must-Have:

• Minimum 3 years of commercial experience in software development
• Experience in ASP.NET development, with a solid understanding of MVC architecture.
• Experience in working with MS SQL databases and familiarity with SQLite for data processing tasks.
• Hands-on experience with jQuery for front-end development tasks.
• Experience in developing or maintaining applications that involve data transformation and processing.
• Great communication skills
• Good English language skills, both written and verbal

Nice-to-Have:

• Knowledge of Windows Presentation Foundation (WPF) for building rich desktop applications.
• Basic understanding of Azure and Kubernetes, as the project is beginning its migration to the cloud.
• Familiarity with XML and XLSX formats and conversion processes.

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Job Description

We seek passionate Machine Learning Engineer to develop robust solutions to real-world, large scale problems that have a direct impact on the business.  You should have a demonstrable experience in ML Engineering and working in a product model using Scrum.

As a Machine Learning Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full ML model lifecycle.

We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities.

If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AIML) team for global retail company.  With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. 

You’ll be designing and implementing scalable applications that leverage predictive models and optimization programs to deliver data driven decisions that result in incredible business impact.  You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. 

Qualifications

• 6+ years of relevant professional experience
• Ability to write robust, maintainable, and extendable code in Python
• Experience with SQL and Spark
• Knowledge of applied data science methods and machine learning algorithms
• Data wrangling experience with structured and unstructured data
• Experience with cloud architecture and technologies (preferably Amazon Web Services, Kubernetes, Docker, Terraform) and MLOps concepts, would be an asset
• Experience with SageMaker/ Kubeflow/ Tensorflow Extended
• Background in mathematics, statistics, or computer science.
• Familiar with principles of solution architecture and technical design
• Effective communication skills (with team members, the business, and in code)

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EXUS is an enterprise software company, founded in 1989 with the vision to simplify risk management software. EXUS launched its Financial Suite (EFS) in 2003 to support financial entities worldwide to improve their results. Today, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than 32 countries worldwide (MENA, EU, SEA). Through technology, we introduce simplicity and intelligence in their business processes, improving their collections performance.

Our people constitute the source of inspiration that drives us forward and helps us fulfill our purpose of being role models for a better world.

This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision.

Our shared Values:

• We are transparent and direct
• We are positive and fun, never cynical or sarcastic
• We are eager to learn and explore
• We put the greater good first
• We are frugal and we do not waste resources
• We are fanatically disciplined, we deliver on our promises

We are EXUS! Are you?

The Role:

EXUS is looking for a talented DevOps Engineer to join us remotely in a company that revolutionizes the way that credit risk is managed.

We are looking for an enthusiastic, highly skilled Senior DevOps Engineer. More specifically you will be:

Main duties:

• Setting up, deploying, and optimizing multi-node Kubernetes clusters on-premises, AWS EKS and Azure AKS
• Automating infrastructure deployment using tools like Helm, Ansible, and Terraform
• Configuring continuous deployment pipelines with GitHub Actions
• Setting up monitoring and logging
• Ensuring robust, secure, highly available deployments and implementing horizontal and vertical scalability
• Collaborating with software development teams providing infrastructure support
• Collaborating with IT and Support team to troubleshoot issues

• BSc degree in Computer Science or relevant field (MSc studies will be appreciated) 
• Experience of at least three years as a DevOps Engineer
• Proficiency in:

1. Kubernetes
2. Git
3. Docker

• Scripting languages such as Bash or Python
• Strong experience in CI/CD tools such as:

1. GitHub Actions
2. Ansible
3. Terraform

Preferred Skills:

• Strong experience in cloud platforms:

1. AWS
2. Azure

• Role-based Access Control (RBAC)
• Kafka
• Networking
• Kubernetes service mesh tools such as Istio
• Experience in GitOps tools like Argo CD or Flux
• Experience in monitoring tools such as Prometheus, Grafana

General skills:

• Excellent knowledge of English language (both verbal & written) 
• Strong problem-solving skills and analytical thinking 
• Team player, self-motivated, constantly seeking new knowledge 
• Fulfilled military obligations for male candidates

At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success.

• Fully remote work setup
• Competitive salary
• Inclusive work environment & Well-being Program
• A clear induction program & a mentoring buddy to help you
• Private health insurance allowance

GDPR Regulation:

https://www.exus.co.uk/en/careers/privacy-notice-for-job-applications/

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Job Description

The Commercial Product & Platform vision develops global technology products and platforms that delight our customers and enable our crews to operate our restaurants reliably and effectively.

Software Engineer II reports to the Sr Engineering Manager, Chapter Lead. In this role, you will be responsible for the design, development, testing and maintenance of the McDonald’s Digital Technology software.

That said, the biggest area of increase in our spending has been in technology, which is helping to drive our growth. We’re looking at how to use technology to improve the customer experience; build new customer experiences; reduce or eliminate repetitive task areas and make employees’ jobs more exciting. With all the new projects and initiatives, it is an exciting time to be on the team that is helping to make a Better McDonald's!

Responsibilities:

• Working in a software development squad for restaurant products to support the design and development for new functionality and items relating to technical debt.
• Ensuring product requirements, features, and backlog items are reviewed and understood as part of Sprint planning.
• Actively participating and assigning story points (effort estimations) to the software development work.
• Verifying software through unit tests, integration tests, code reviews, and frequent customer demonstrations.
• Providing feedback on what went well and what could be improved during retrospective reviews.
• Providing frequent progress updates to the direct manager and other stakeholders.

The salary range for the role is $96,230-$135,925 per year

Qualifications

• 2+ years of non-internship professional software development experience with programming experience in C#
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• Experience with cloud technologies such as AWS or GCP
• Bachelor’s Degree in Computer Science or related field or equivalent years of experience.
• Strong knowledge of software development tools such as GIT, GitHub, JIRA, Visual Studio or equivalent, etc.
• Strong verbal and written communication skills, are hard-working and deliver high quality results in a fast-paced environment.
• Highly quantitative with great judgment and passion for building a great customer experience.
• Ability to take a project from scoping requirements to launch to delivery

Preferred Qualifications

• Kubernetes
• Performance Testing

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Job Description

Salary Range:

The expected pay range for this position is $150,000 to $165,000 yearly.  The pay rate will vary based on skills, experience, and location.

Overview: 

We are seeking a highly skilled and experienced Subject Matter Expert Applications Software Developer to join our dynamic team.

As a key member of our software development team, you will play a critical role in designing, developing, and maintaining high-quality applications that meet the needs of our clients and end-users.

Responsibilities: 

• Collaborate with cross-functional teams to gather and analyze requirements, design solutions, and develop software applications that align with business objectives.
• Lead the design and architecture of complex software systems, ensuring scalability, reliability, and performance.
• Develop clean, efficient, and maintainable code in accordance with best practices and coding standards.
• Conduct thorough testing and debugging of applications to ensure quality and reliability.
• Stay current with emerging technologies and industry trends and incorporate them into the development process as appropriate.
• Provide technical guidance and mentorship to junior developers, fostering a culture of continuous learning and growth.
• Participate in code reviews, team meetings, and project planning sessions to ensure effective collaboration and communication.

Qualifications

• Minimum of 7-10 years of experience in software development, with a focus on application development.
• Proficiency in multiple programming languages, such as Java, C#, Python, or JavaScript.
• Integrated Development Environment (IDE) experience for example (Eclipse).
• Extensive experience with software development methodologies and practices, including Agile/Scrum.
• Strong understanding of software architecture, design patterns, and principles.
• Proven track record of delivering high-quality, scalable software solutions on time and within budget.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• Familiarity with DevOps practices and tools (e.g., CI/CD, Docker, Kubernetes) is desirable.

Education Requirements:

• Bachelor’s degree in computer science, Software Engineering, or a related field.

Clearance Requirements:

• Must be a US Citizen
• Active Public Trust/MBI or have the ability to obtain one.

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Job Description

Job Title: Sr. DevOps Engineer (Cloud Security)
Experience: - 15+ ONLY 
Location: Frisco, TX & Remote 

Job Description:
We are looking for an experienced Sr. DevOps Engineer (Cloud Security) to strengthen cloud security through automation and secure infrastructure development. The role requires strong expertise in AWS, Azure, or GCP, and hands-on experience with security services like IAM, Security Hub, and Security Command Center.

Key Responsibilities:
Secure cloud infrastructure on AWS, Azure, or GCP.
Automate infrastructure provisioning using Python or Golang.
Implement security across OS, networks, applications, containers (Docker/Kubernetes), and CI/CD pipelines.
Design and manage CI/CD pipelines and security policies (OPA/Service Control).
Collaborate with cross-functional teams, mentor junior engineers, and perform code reviews.
Monitor security using SIEM/SOAR tools and CNAPP solutions (Wiz).
Qualifications:
Expertise in AWS, Azure, or GCP.
Strong proficiency in Python or Golang for automation.
Deep knowledge of security across multiple layers (OS, network, container, CI/CD).
Experience with automation tools like Jenkins, Ansible, and Terraform.
Experience with Kubernetes, Docker, and cloud security services.

Qualifications

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Job Description

Quais serão suas principais entregas?

• Análise e design da arquitetura de aplicações;
• Entender o direcionamento técnico e estratégico da empresa para gerar e documentar padrões de aplicações de acordo com a arquitetura corporativa;
• Identificar oportunidades de criação de componentes/APIs de reuso para toda companhia e garantir o reuso pelas diversas equipes de desenvolvimento;
• Garantir implementações seguras e resilientes;
• Acompanhar KPIs de gestão de arquitetura de soluções e reuso;
• Realizar POCs com novas tecnologias ou diferentes casos de uso;
• Ser o ponto focal do time para dúvidas técnicas e impasses decisivos;
• Exercitar e explorar os code reviews e dojos junto ao time, potencializando o aprendizado contínuo da equipe;
• Será o par do Squad Lead, sendo necessário envolvimento em reuniões e tomadas de decisões estratégicas.

Qualifications

O que estamos buscando em você?

• Experiência com liderança técnica;
• Experiência em soluções em microsservices, conteinerizados (Docker) e orquestrados (Kubernetes);
• Experiência prática em desenvolvimento de aplicações modernas (APIs) e websites/plataformas;
• Ter experiência em pelo menos uma das stacks abaixo:
  Java/Spring Boot;
  Angular 15+;
  Spark (Python ou Scala);
• Ter conhecimento em ferramentas de mensageria e eventos - RabbitMQ e Kafka;
• Conhecimento dos principais modelos e padrões de arquitetura de aplicações – DDD, BDD, Microfrontends, Design Patterns, SOLID, Service Mesh, Enterprise Integration Patterns;
• Experiência prática com soluções de aplicações em nuvem (AWS);
• Boa capacidade de planejamento, organização, documentação e negociação (de prazos e necessidades);
• Experiência em liderar equipes tecnicamente – sabendo abordar a equipe para que ela saia com a resposta, mesmo que necessário um direcionamento final;
• Desejável conhecimento em soluções de dados big data – Data Lake, Data Warehouse, ETL, BI, Data Mesh, MLOps, etc.

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