Position: Senior Data Engineer
Company: Infopulse
Experience required: 5y
English level: fluent

You will be expected to collaborate extensively with customers and help them with all parts of creating valuable end-to-end solutions. This will include working with everything from ingesting data into the platform, automating workflows through scripting, applying and developing data processing tools, and building awesome visualization solutions using data connectors.

Areas of Responsibility:
•	Collaboration with architects, domain experts, project managers, customers and partners to identify the necessary data sources, how to extract the data, how to model the data and how to set up data pipelines, that meet the needs of the project teams and use cases to be solved.
•	Drive and manage integrations, extractions, data modeling, and analysis using Customer data connectors, SQL, Python/Java and Rest APIs.
•	Define, prove or disprove hypothesis toward data use in the projects
•	Support customers and partners in conducting data engineering tasks with Customer products.
•	Collaborate with R&D and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.

Qualifications:
•	Bachelor or Master degree in Software engineering or similar.
•	5+ years of experience with Data Engineering or similar roles.
•	Experience delivering production-grade data pipelines using e.g. Python, SQL, Java and Rest APIs
•	Experience with data and data analytics tools (e.g. PowerBI)
•	Ability to independently investigate and solve problems

Will be an Advantage:
•	DevOps mindset, and experience with Git, CI/CD, deployment environments.
•	Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure.