01 Zakres zadań

Design, implement, and maintain scalable and efficient data pipelines in Azure and Databricks
Develop and optimize ETL processes using Azure Data Factory and Databricks
Build Big Data solutions aligned with business requirements
Collaborate with Data Science, BI, and development teams to ensure high-quality data
Monitor performance of data processing systems and implement improvements
Implement data security standards and practices
Research and evaluate new technologies in the data engineering space

02 Wymagania

3 must-have · 2 języki

Must-have

Data

Zaawansowany

Databricks

Zaawansowany

Spark

Zaawansowany

Wymagane języki

Angielski

Ekspert

Polski

Ekspert

03 Profil kandydata

Minimum 3 years of experience in a Data Engineer role or similar position
Strong knowledge of Azure data services (Azure Data Factory, Azure Synapse Analytics, Azure Data Lake)
Extensive experience with Databricks and Apache Spark
Proficiency in SQL and experience with relational databases
Experience in creating and optimizing data pipelines (ETL/ELT) in cloud environments
Strong programming skills in Python, Scala, or Java
Experience with Delta Lake architecture and optimization techniques
Knowledge of data modeling and schema design

04 Benefity

Pakiet medyczny

Pakiet sportowy

Budżet szkoleniowy

Klasy językowe

05 O firmie

Devapo

Start-up · Warszawa

Devapo is a software development company specializing in complex strategic projects. They develop custom software solutions that boost ROI, from initial idea through maintenance and testing. Their services include smart process automation, custom software development, legacy system modernization, IT project outsourcing, and product design. Devapo uses modern technologies and agile methodologies to ensure quality, transparency, and customer satisfaction.

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