Senior Data Engineer @ Sunscrapers
7 days ago
- At least 5 years of professional experience as a data engineer,
- Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar,
- Excellent command in spoken and written English, at least C1,
- Strong professional experience with Python and SQL,
- Hands on experience on DBT and Snowflake,
- Experience in building data pipelines with Airflow or alternative solutions,
- Strong understanding of various data modeling techniques like Kimball Star Schema,
- Great analytical skills and attention to detail - asking questions and proactively searching for answers,
- Creative problem-solving skills,
- Great customer service and troubleshooting skills.
You will score extra points for:
- Expertise in AWS or Azure stack,
- Experience with infrastructure-as-code tools, like Terraform,
- Devops skills to automate deployment and streamline development,
- Good understanding of Docker, Kubernetes and AWS EKS.
Are you ready to take the challenge?
We’re looking for a Senior Data Engineer to join our team in Warsaw or remotely.
Advance your career with Sunscrapers, a leading force in software development, now expanding its presence in a data-centric environment. Join us in our mission to help clients grow and innovate through a comprehensive tech stack and robust data-related projects. Enjoy a competitive compensation package that reflects your skills and expertise while working in a company that values ambition, technical excellence, trust-based partnerships, and actively supports contributions to R&D initiatives.
As a Senior Data Engineer you’ll design and implement a system supporting the decision process for the US-based private investment firm. You’ll need to integrate data from multiple systems and sources to enable data insights, machine learning and data-driven decision processes. You’ll build integrated data models, data warehouse and data pipelines.
The ideal candidate will be well organized, eager to constantly improve and learn, driven and, most of all - a team player
,[Modeling datasets and schemes for consistency and easy access,, Design and implement data transformations and data marts,, Integrating third-party systems and external data sources into data warehouse,, Building data flows for fetching, aggregation and data modeling using batch pipelines.] Requirements: Python, SQL, dbt, Snowflake, Airflow, Terraform, Docker, Kubernetes, AWS EKS, Azure, AWS Additionally: Sport subscription, Private healthcare, International projects, Free coffee, Playroom, Free snacks, Free beverages, In-house trainings, No dress code, Modern office.-
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