Senior Data Engineer/Analyst @
2 tygodni temu
The project:
As a Senior Data Engineer/Analyst you'll design and implement a system supporting the investment process for the US-based venture capital 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 flows, data warehouse and data pipelines.Requirements
Benefit What do we offer?
Culture of teamwork, professional development, and knowledge sharing (
Flexible working hours and remote work possibility
Multisport card
Private medical care
Culture of good feedback:
code reviews, evaluation meetings, mentoring.
Comfortable office in central Warsaw equipped with all the necessary tools for comfortable work (Macbook Pro, external screen, ergonomic chairs) - if working on-site
We're looking for a Senior Data Engineer/Analyst 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.
What's important for us?At least 5 years of professional experience in data-related role, software engineering or DevOps
Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar
Excellent command in spoken and written English, at least C1
Expertise in Python, SQL and Linux scripting
Experience with data vizualization with Tableau, Sigma or other BI tools
Experience with Snowflake or other data warehouse
Experience in building ETL processes and data pipelines with platforms like Airflow or AWS services (Glue, Lambda, Batch, Data Pipelines).
Expertise in AWS stack, Docker as well as deployment automationGreat 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:
Experience with infrastructure-as-code tools, like Terraform
Experience with DBT
Proficiency in statistics and machine learning, as well as Python libraries like Pandas, NumPy, matplotlib, seaborn, scikit-learn, etc
Are you ready to take on the challenge?
The project:
As a Senior Data Engineer/Analyst you'll design and implement a system supporting the investment process for the US-based venture capital 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 flows, data warehouse and data pipelines.Requirements
Benefit What do we offer?
Culture of teamwork, professional development, and knowledge sharing (
Flexible working hours and remote work possibility
Multisport card
Private medical care
Culture of good feedback:
code reviews, evaluation meetings, mentoring.
Comfortable office in central Warsaw equipped with all the necessary tools for comfortable work (Macbook Pro, external screen, ergonomic chairs) - if working on-site
,[Designing and implementing system architecture and data flow, , Integrating third-party systems (via APIs) and external data sources into data warehouse, , Implementing integrations between systems to match and enrich data (e.g. CRM, Wiki and Slack), , Designing and building AWS infrastructure with best DevOps practices in mind, , Developing data technology stack including data warehouse and ETL pipelines, , Building data flows for fetching, aggregation and data modeling using batch pipelines, , Designing datasets and schemes for consistency and easy access, , Building and extending recommendation systems.
] Requirements:
Python, SQL, Linux, Tableau, BI, Snowflake, Data pipelines, Airflow, AWS, Docker, Analytical skills, Terraform, dbt, Machine learning, pandas, Matplotlib, scikit-learn Additionally: Sport Subscription, Private healthcare, Remote work, MacBook, Knowledge sharing, Flexible working hours, Modern office, Free coffee, Bike parking, Playroom, Shower, Free snacks, Free beverages.
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