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Data Architect for Distributed Data Platform

3 tygodni temu


Warszawa, Mazovia, Polska Pragmile Pełny etat

Company Overview

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Solar Spy is an analytical platform dedicated to supporting solar farm operations.

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We process various types of PV plant data, including image data from aerial inspections, weather data, and data from photovoltaic installation infrastructure elements.

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Our main objective is to maximize green energy production and reduce O&M costs.

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Job Description

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We are looking for a Data Engineer who can help us design and implement a scalable data architecture capable of processing data with high throughput in a distributed manner.

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This includes building and maintaining distributed/multiprocessing data processing pipelines, working together with data scientists, and ML engineers to serve AI/ML models with high throughput.

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Required Skills and Qualifications

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Data Engineering Tools: Experience with big data, data ingestion, transformations, querying, and messaging systems (e.g., KafkaMQ)

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Programming Languages: Strong understanding of Python and proficiency in SQL, ORMs, and NoSQL databases

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Distributed Systems: Experience with building scalable APIs and distributed data processing pipelines

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Benefits

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Flexible Working Hours: Work in a non-corporate environment where you can have an impact on the way your business operates

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Private Healthcare: Private healthcare, sports card, training budget, flexible working hours, flat structure, small teams, free coffee, bike parking, and free snacks

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Others

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Startup Atmosphere: Work together with data scientists, ML engineers to serve AI/ML models with high throughput and build solutions at scale and optimize for performance