Qureos Mentor

SDG Group

<div><h3 class="jobSectionHeader">Engagement Leadership &amp; Delivery Management</h3><ul><li>
Lead end-to-end delivery of Snowflake Data &amp; Analytics engineering engagements, from discovery and solution design through implementation and transition to operations</li><li>
Own engagement governance including scope management, delivery planning, risk and issue management, and financial oversight</li><li>
Ensure delivery outcomes meet contractual obligations, quality standards, and client expectations</li><li>
Act as the primary escalation point for engagement-level delivery and technical challenges</li></ul><h3 class="jobSectionHeader">
Solution Architecture &amp; Advisory</h3><ul><li>
Serve as the Snowflake solution authority across assigned engagements</li><li>
Lead architecture definition, design reviews, and technical governance for Snowflake implementations</li><li>
Advise clients on modern data platform strategies, analytics architectures, and Snowflake adoption best practices</li><li>
Define, maintain, and enforce Snowflake delivery standards, reference architectures, and methodologies</li></ul><div><h2 class="jobSectionHeader">
Required Qualifications</h2><h3 class="jobSectionHeader">
Education</h3><ul><li>
 Bachelor&rsquo;s degree in Computer Science, Engineering or a related discipline</li><li>
Master&rsquo;s degree is preferred</li></ul><h3 class="jobSectionHeader">
Professional Experience</h3><ul><li>
8+ years of experience in data engineering, analytics engineering, or data platform delivery.</li><li>
3+ years of hands-on experience delivering Snowflake implementations in enterprise environments.</li><li>
Proven experience leading consulting engagements within a system integrator, advisory firm, or Big environment</li><li>
Demonstrated experience managing multiple workstreams, teams, and client stakeholders</li></ul><h3 class="jobSectionHeader">
Technical Competencies</h3><ul><li>
Strong expertise in Snowflake architecture, performance tuning, and cost optimization</li><li>
Advanced SQL and strong understanding of data warehousing and analytics modeling techniques</li><li>
Experience with ELT/ETL frameworks and tools (e.g., dbt, Informatica, Matillion, Fivetran, Airflow)</li><li>
Experience integrating Snowflake with BI and analytics platforms (e.g., Power BI, Tableau, Looker, SAP Analytics)</li><li>
Experience working with cloud platforms (AWS, Azure, or GCP)</li><li>
Familiarity with CI/CD, DevOps, data governance, and security best practices</li></ul><h3 class="jobSectionHeader">
Leadership &amp; Consulting Skills</h3><ul><li>
Proven ability to lead, mentor, and develop high-performing consulting teams</li><li>
Strong client-facing, communication, and executive presentation skills</li><li>
Demonstrated ability to translate business requirements into scalable analytics solutions</li><li>
Strong problem-solving, decision-making, and stakeholder management capabilities</li></ul><h3 class="jobSectionHeader">
Certifications (Preferred)</h3><ul><li>
Snowflake SnowPro certifications</li><li>
Relevant cloud or data platform certifications</li></ul></div></div>

Snowflake Data & Analytics Engineering Manager

<div><h2 class="jobSectionHeader">Responsibilities</h2><ul><li>
End-to-End Solutions: You will design and develop end-to-end solutions for processing large data volumes, spanning from the initial business problem to scalable and optimized ETL/ELT pipelines.</li><li>
Tech Stack: You will work with technologies such as Databricks, Snowflake, dbt, and Microsoft Fabric, using Spark (Python/Scala), SQL; and orchestration with Airflow, Data Factory or similar tools.</li><li>
Advanced Architectures: You will help to define and implement advanced architectures under the Data Lakehouse and Data Warehouse paradigms, supporting diverse data processing patterns including Batch, Near Real Time, and Streaming.</li><li>
Data Integration: You will develop data ingestion and transformation pipelines from diverse sources (APIs, files, databases, streaming), to build analytical data models supporting business use cases.</li><li>
Platform Foundation: You will collaborate in the implementation of frameworks and engines that provide a standard framework for the main functions of a data platform: Orchestration, Ingestion, Transformation, Quality, Security, Testing, Deployment, Observability, among others.</li><li>
Collaboration: You will collaborate with multidisciplinary teams and stakeholders, translating complex requirements into efficient technical solutions.</li><li>
Continuous Learning: You will stay up to date with the latest technological trends&mdash;especially in Data &amp; Analytics&mdash;through continuous training and the exploration of new tools and innovations.</li><li>
Career Path: You will be in control of your professional development together with your managers. SDG Group will give you the opportunity to build a professional career oriented to become a Data Architect in a world-class organization.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
Education: Degree in Computer Engineering or Computer Science. It&rsquo;s a plus to have a Master&rsquo;s Degree in any Data-related field.</li><li>
Languages: English C1 level or higher.</li><li>
Experience: 2+ years of experience in Data Lake and/or Data Warehouse projects.</li><li>
ETL/ELT: Experience on data integration with Spark (Python or Scala) and/or SQL and dimensional data modeling.</li><li>
Cloud: Experience working in Cloud environments (AWS, GCP, or Azure) and platforms (Databricks, Snowflake, Microsoft Fabric).</li><li>
Code Management &amp; DataOps: Solid understanding of Git, CI/CD, pipeline monitoring, data quality control, and data versioning.</li><li>
Consulting Background: Previous experience in consulting is a plus.</li></ul></div>

Junior Data Engineer

<div>About the Role 
We are looking for a Full Stack Software Developer to join our development team and contribute to international data and artificial intelligence projects, focusing on software integration and application development. 
 
This role is not focused on data engineering or machine learning development, as these areas are covered by specialized teams. Instead, the developer will work on integrating data and AI capabilities into applications, platforms, and services. 
 
Key Responsibilities<ul><li>
Develop and maintain backend services primarily using Python; experience with Java is considered a plus.</li><li>
Build and maintain frontend applications using modern frameworks such as Angular and/or React.</li><li>
Integrate data platforms and AI/ML services into software applications through APIs and services.</li><li>
Implement application logic that consumes outputs from data and AI systems developed by other teams.</li><li>
Collaborate closely with data, AI, QA, and infrastructure teams to ensure correct integration and delivery.</li><li>
Develop features based on functional and technical requirements provided by the project team.</li><li>
Participate in code reviews and contribute to improving code quality and maintainability.</li><li>
Follow established architectural guidelines and development standards.</li><li>
Work on medium-complexity projects, delivering tasks on time and with consistent quality.</li></ul> 
Required Skills &amp; Experience<ul><li> 
4 to 5 years of professional experience in software development.</li><li>
Strong backend development experience with Python; knowledge of Java is an advantage.</li><li>
Hands-on experience with Angular and/or React for frontend development.</li><li>
Experience integrating third-party services, APIs, and microservices.</li><li>
Basic understanding of data platforms and AI systems from a software integration perspective.</li><li>
Good knowledge of REST APIs, databases, and software development best practices.</li><li>
Experience working in structured development environments with defined processes.</li><li>
Ability to collaborate effectively in distributed and international teams.</li><li>
High level of English, with clear written and spoken communication.</li></ul> 
Nice to Have<ul><li>
Experience integrating cloud-based data or AI services.</li><li>
Familiarity with CI/CD pipelines and containerized environments.</li><li>
Previous experience working on projects involving data platforms or AI-enabled applications.</li></ul></div>

Full Stack Software Developer

<div>Discover the Power of SDG: Global Leaders in Data &amp; AI
SDG Group boasts a robust AI capability with over 200 multidisciplinary experts, including Industry &amp; Business Domain experts, Business Scientist, AI architects &amp; AI Engineers, AI R&amp;D and AI Compliance &amp; Governance Experts.
With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track AI implementation. Through SDG iLabs, we drive innovation by experimenting with emerging AI trends. We have strong alliances with major AI hyperscalers like Microsoft, Google, and AWS, and are recognized globally as a top leader in data and AI services. Our 2000+ consultants ensure businesses are AI-ready.
Join SDG and be part of something extraordinary! Experience what it truly means to be an expert in Artificial Intelligence. If you're seeking to join a team fully specialized in Data, Analytics, and AI, we can't wait to meet you.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Lead Innovation: Drive teams of machine learning engineers to implement groundbreaking AI and Generative AI solutions in large-scale enterprise environments.</li><li><div>
Design the Future: Architect advanced cloud analytics platforms that span the entire data science lifecycle, with a focus on AIOps best practices.</div></li><li><div>
Shape Strategy: Help our clients craft robust strategies and methodologies for leveraging data science and machine learning in cloud ecosystems.</div></li><li><div>
Master Cloud Technologies: Work with leading tools and platforms like Azure Databricks, Azure Machine Learning, Amazon Sage Maker, Google Vertex AI, and more to develop cutting-edge solutions.</div></li><li><div>
Build Our Vision: Collaborate to define SDG&rsquo;s value proposition in data science, particularly around next-gen architectures for machine learning systems.</div></li><li><div>
Create Impact: Work closely with consulting and sales teams to craft compelling business proposals, bringing your solution architecture expertise to every project.</div></li><li><div>
AI Systems Tech Architecture Solution Design: Designing technical architecture solutions for AI systems, leveraging frameworks and best practices from vendors or hyperscalers, or drawing on our extensive engineering experience, to create robust scalable AI/ML systems that ensure seamless integration and performance</div></li><li>
AI Digital Twin Foundation: building a robust foundation with a composable architecture of AI and ML systems, rule-based systems, and cognitive knowledge chains enhanced by generative AI. This enables real-time monitoring, simulation, and optimization of virtual representations of physical systems for enhanced operational efficiency.</li></ul><h3 class="jobSectionHeader">
What We&rsquo;re Looking For</h3><ul><li>
A degree in Computer Science, Telecommunications Engineering, or a related technical field with a strong background in software engineering.</li><li><div>
8+ years of professional experience, with at least 5 years specializing as a machine learning engineer or machine learning architect.</div></li><li><div>
Deep theoretical and practical expertise in data science fundamentals, solution lifecycles, and AIOps methodologies.</div></li><li><div>
Strong background in software development and AI implementation.</div></li><li><div>
Proven experience designing and building scalable architectures for machine learning platforms in the cloud.</div></li><li><div>
Advanced knowledge of state-of-the-art cloud technologies and platforms for AI, including Azure, AWS, and Google Cloud.</div></li><li>
Excellent communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications :</h3><ul><li>
A Master&rsquo;s or PhD in Big Data, Artificial Intelligence, or related fields.</li><li><div>
Strong understanding of data architectures and information modeling strategies.</div></li><li><div>
Previous consulting experience in Data &amp; Analytics.</div></li><li><div>
Experience as a data engineer in analytics environments like data warehouses or data lakes.</div></li><li><div>
Expertise in cloud-based data processing architectures and automation solutions.</div></li><li><div>
Hands-on experience with Generative AI models, including Large Language Models (LLMs), neural networks, and recommendation systems.</div></li><li><div>
Proficiency with tools and frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI.</div></li><li>
Certifications in cloud platforms like AWS, Azure, or Google Cloud, with a focus on machine learning architecture.</li></ul><h3 class="jobSectionHeader">
 Why SDG?</h3>
At SDG Group, we&rsquo;re a global consulting powerhouse exclusively focused on Data, Analytics, and Artificial Intelligence. Our mission is to cover the entire data value chain, offering unparalleled career paths for those passionate about AI and data. 
As an AI Architect, you&rsquo;ll be at the center of transformative projects, helping industry-leading clients build and deploy machine learning and AI systems in complex, real-world environments. You&rsquo;ll work across industries, applying predictive analytics, deep learning, and cutting-edge technologies to solve business challenges and unlock new opportunities. 
What sets us apart? We offer continuous learning and growth, empowering you to develop your skills and stay at the forefront of AI innovation. At SDG, we believe in fostering an inclusive culture where you can be your true self while making a real impact. Ready to push the boundaries of AI?
If you value inclusivity and want to be part of a culture where you can truly be yourself, we want you on our team.
Be a part of the future of AI - join us today and help shape the next big breakthrough!</div>

AI Architect

Join SDG Group and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

SDG Group

About Company

Snowflake Data & Analytics Engineering Manager

Junior Data Engineer

Full Stack Software Developer

AI Architect