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Principal Data Engineer (AWS)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Data Engineer (AWS): Building and optimizing data pipelines, cloud infrastructure, and analytics tools for enterprise customer success with an accent on AWS, SQL, Python, and scalable data delivery architecture. Focus on designing ETL systems, managing complex and disconnected datasets, and applying AI and NLP techniques to improve data workflows and outputs.
Location: Kraków, Poland; hybrid working schedule
Company
develops software that helps innovators design buildings, products, factories, and media.
What you will do
- Design data pipeline architecture and assemble complex datasets for functional and non-functional requirements.
- Build extraction, transformation, and loading infrastructure using SQL and AWS cloud technologies.
- Automate manual processes, optimize data delivery, and redesign infrastructure for scalability.
- Develop analytics tools and data structures supporting employee experience, operational efficiency, and performance metrics.
- Support software developers, data analysts, and data scientists with data infrastructure and technical issues.
- Design prompts, evaluate AI and NLP workflows, and improve output quality through experimentation and performance analysis.
Requirements
- At least 5 years of experience in a data engineering role.
- Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- Strong command of English required.
- Experience with AWS Batch, CloudFormation, IAM, Lambda, ECS, and Step Functions.
- Experience with Terraform, Python, SQL, relational databases such as PostgreSQL, RESTful APIs, and BI tools such as QuickSight.
Nice to have
- Experience with Agile and Scrum methodologies, Power BI dashboards, and unstructured datasets.
- Experience processing large, disconnected datasets and working with globally distributed teams.
- Experience with prompt design, natural language processing, AI experimentation, and workflow optimization.
Culture & Benefits
- Hybrid working schedule.
- Competitive compensation based on experience and geographic location.
- Annual cash bonus opportunities, stock or long-term incentive grants, and a comprehensive benefits package.
- Culture focused on belonging, authenticity, and meaningful work.
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