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You are a strategic, forward-thinking Big Data Solutions Architect who is passionate about crafting scalable and efficient data architectures that manage large volumes of data. You thrive on guiding the implementation of robust, cloud-based data platforms and ensuring they align perfectly with the company's strategic goals.
Competencies
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience is desirable
- 4+ years of experience designing and deploying big data solutions in a cloud environment, specifically utilizing GCP and Dataflow.
- Deep knowledge of cloud platforms, especially related to big data services such as GCP BigQuery.
- Expertise in cloud-based big data services.
- Proven track record in optimizing big data solutions for performance and cost.
- Hands‑on experience with distributed data systems and knowledge of distributed computing principles.
- Familiarity with data integration techniques and tools and data governance and quality principles.
- Experience creating and designing reports in PowerBI.
- Advanced English is a must
Responsibilities
- Lead the design and deployment of cloud‑based big data solutions.
- Collaborate with stakeholders to identify data requirements and translate them into technical specifications.
- Ensure data architectures align with business needs and can handle future scalability.
- Provide guidance on the selection and usage of big data tools and platforms.
- Drive continuous improvements in data storage, processing, and optimization techniques.
- Collaborate with data integration teams to guarantee seamless data flow.
- Contribute to the company's overall data strategy and roadmap.
- Mentor and train junior engineers and data professionals.
- Advocate for data best practices, promoting data governance and quality.
- Evaluate and introduce new big data technologies and frameworks.
- Work closely with IT Security to ensure all da
Postúlate en Kit Empleo: kitempleo.com.co/empleo/1amig1
📌 Big Data Solutions Architect (Medellín)
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📍 Medellín
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