Data Engineer with strong Python skills @ Acaisoft Poland Sp. z o.o. Remote

Data Engineer with strong Python skills @ Acaisoft Poland Sp. z o.o.

Remote

• Min. 2 years of commercial experience as a Data Engineer.
• Strong skills in writing Python code.
• Knowledge of Google Cloud.
• Practical experience with a Data lake, Microservices.
• Familiarity with Kubernetes.

Nice to have:

• Golang skills.
• Experience working with Looker studio, PostgreSQL, MSSQL, Protobuf, Celery.
• A degree related to the IT field (or in progress).

Hi there! If you’re looking for a high-impact position in an ambitious software house we’ve got a match for you!

We are seeking a Data Engineer to collaborate with our client, a Norwegian financial company offering various products, including insurance and refinancing. Developing an application that allows you, among other, tos easily pay invoices. It also allows refinancing loans, making loans, or even brokering insurance for any purpose.

,[Designing, developing, testing, and maintaining system architectures to ensure optimal performance and scalability., Implementing ETL data pipelines to enable efficient data processing and integration., Creating and optimizing data processing workflows to streamline data management., Preparing data for predictive and prescriptive modeling. , Finding hidden patterns using data., Using data to discover tasks that can be automated. , Developing robust and scalable data solutions to meet business and technical requirements.] Requirements: Python, Data engineering, Google cloud, Kubernetes, Looker, Celery, protobuf, PostgreSQL, MySQL Tools: Jira, Confluence, GIT, Agile. Additionally: Sport subscription, Private healthcare, Training budget, International projects, Free coffee, Playroom, In-house trainings, Fruit Mondays, No dress code, Pizza Fridays, Modern office, corporate library, employee recommendation program, charitable initiatives, integration meetings, company sports team, video games at work, relaxation zone, pizza Fridas, fruits in the office.

Kategorie

data

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