Data Engineer - AWS
Opis stanowiska
- Do you enjoy designing and building scalable data platforms on AWS that power analytics, AI, and business-critical solutions?
- Are you ready to help organizations unlock the value of their data through AWS and AI-driven innovation?
- Interested in joining a leading global software and cloud solutions provider helping organizations optimize technology and drive digital transformation?
As our new Data Engineer - AWS, you will design, build, and optimize scalable data platforms, pipelines, and data warehouses on AWS to support analytics, AI, and business-critical initiatives. You will transform business requirements into robust technical solutions, integrate data from multiple sources, and provide expert guidance on data architecture and engineering best practices. Working closely with clients and cross-functional teams, you will deliver high-quality data solutions while leveraging modern AWS services and emerging technologies, including Generative AI.
Key responsibilities
- Develop and maintain data warehouses and data platforms
- Design, build, and optimize ETL processes, integrating data from multiple sources
- Analyze data-related challenges and recommend the most effective technical solutions
- Troubleshoot and resolve technical issues across data environments
- Estimate the effort required to deliver projects based on statements of work
- Translate business requirements into clear technical specifications
- Collaborate closely with clients and internal teams to successfully deliver project objectives
- Professional experience in data or cloud-focused role, such as Data Engineer, ML Engineer, Python Developer, or Cloud Engineer
- Strong programming and data management skills, including Python (e.g., pandas, NumPy, boto3) and SQL
- Hands-on experience designing and building data solutions using Amazon S3, AWS Glue, Amazon Athena, and Amazon Redshift
- Interest or practical experience in Generative AI, including Amazon Bedrock, Large Language Models (LLMs), and cloud-based AI solutions
- Strong communication, presentation, and stakeholder management skills, with the ability to work directly with clients, present solutions clearly, and take ownership of deliverables
- Curiosity and willingness to learn new cloud platforms, tools, and emerging technologies, with experience in Amazon SageMaker, Apache Spark, or Machine Learning workflows considered an advantage
- Familiarity with AI Agents, autonomous workflows, RAG (Retrieval-Augmented Generation), LangChain, LlamaIndex, and AWS certifications (e.g., AWS Certified Cloud Practitioner, AWS Certified Developer, or AWS Certified Data Engineer) is a plus
- Global company culture: We defined our 6 core values through our company culture (https://www.softwareone.com/en/our-story/our-values)
- A mentor who supports your successful start and is at your side with advice and action
- President’s Club: Recognition awarded by leadership and your peers
- Flexible work: Do great work from anywhere but also visit local office to deliver excellence in team relationship
- Lifelong education: A variety of training and development opportunities
- Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future
Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers.
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