The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
This company is a leading provider of IT infrastructure services. They specialize in designing, building, managing, and modernizing complex technology systems for businesses worldwide.
Cloud Data Engineer
The Role
As a Data Expert, you will play a crucial role in bridging business challenges with innovative solutions. You’ll leverage a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering to drive impactful outcomes.
In this dynamic role, you will:
- Deeply understand business objectives and requirements, translating them into actionable data problems.
- Collect and explore data, identifying underlying patterns and insights to guide hypothesis creation.
- Lead the process of business understanding, data understanding, and data preparation.
- Develop and implement statistical and mathematical models to address complex business challenges.
- Evaluate and refine models to ensure optimal performance and business value.
- Deploy models as code to applications and processes, ensuring their ongoing effectiveness.
- Gain a comprehensive understanding of business processes, identifying areas for improvement and crafting data-driven solutions.
- Develop and implement data governance standards and policies to ensure data security, privacy, accuracy, and availability.
- Contribute to data management, migration, strategy, change management, and policy and regulation initiatives.
Your Future
Every position offers opportunities for career growth. You’ll gain valuable hands-on experience, access learning resources, and have the chance to certify in major platforms. Whether you seek to broaden your knowledge or specialize in a particular domain, you can find your path here.
Who You Are
You are a skilled professional with a proven track record and a strong growth mindset. You are customer-focused, prioritizing their success in all your endeavors. You are also open and inclusive in your approach to collaboration.
Required Skills and Experience
- 5+ years of Data consulting experience, or relevant experience in the AI & Analytics domain, with a strong history of building and maintaining client relationships.
- Proven ability to collaborate with customers and partners to identify new Data and AI opportunities, develop proposals, and position solutions effectively.
- Experience organizing and leading educational and ideation workshops on AI and Generative AI.
- Deep understanding of customer needs and ability to assess their data maturity.
- Expertise in evaluating and recommending appropriate data pipelines, frameworks, tools, and platforms.
- Proven ability to lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions.
- Experience developing end-to-end AI PoC projects using Python, Flask, FastAPI, and Streamlit.
- Proficiency in cloud services (AWS / GCP / Azure) for deploying PoCs and pipelines.
- Experience with big data frameworks both on-premises and on cloud.
- Ability to collaborate with AI architects, engineers, and data scientists to develop tailored Data and AI solutions.
- Proven ability to lead the integration and deployment of data and AI products.
- Strong understanding of big data technologies, streaming applications, and data modeling.
- Experience working with customers across various industries, understanding their unique challenges and requirements.
Preferred Skills and Experience
- Bachelor’s degree in computer science, Information Security, or a related field.
- Cloud certifications related to data, analytics, and architecture in AWS, GCP, or Azure.
- Excellent communication and interpersonal skills for effective collaboration with clients and team members.
- Strong statistical and analytical skills.
- Advanced proficiency in PowerPoint and Excel.
- Strong business acumen and understanding of industry trends and challenges in Data, AI, and Generative AI.
- Strong leadership skills, with a proactive and self-driven attitude.
- Advanced communication and storytelling skills.
- High adaptability and flexibility in handling shifting priorities.
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