SQUARE ONE RESOURCES sp. z o.o.Warszawa, Masovian, Poland
22 dni temu
Opis pracy
technologies-expected :
Python
Azure Data Factory
Blob Storage
Key Vault
Logic Apps
Azure SQL Database
Synapse
technologies-optional :
Snowflake
Databricks
Azure Machine Learning
Power BI
PySpark
Scala
about-project :
We are expanding our Supply Chain Analytics team and looking for a skilled Data Engineer to develop and maintain data ingestion, processing, and delivery pipelines using Microsoft Azure services.
The role focuses on supporting data-driven decision-making through efficient and reliable data infrastructure.
responsibilities :
Design, build, and optimize ELT / ETL pipelines to support statistical modeling and business intelligence
Monitor and ensure data quality and integrity
Configure and maintain data storage systems such as data lakes and SQL databases
Manage production connections across the data infrastructure components
Write secure, scalable, and maintainable code that translates business needs into technical solutions
Promote engineering best practices, including automation, CI / CD, and code maintainability
Collaborate closely with BI analysts, data scientists, machine learning engineers, and core IT teams
requirements-expected :
Minimum 2–3 years of hands-on experience in data engineering roles
Strong proficiency in Python, SQL, and Azure data services (Azure Data Factory, Blob Storage, Key Vault, Logic Apps, Azure SQL Database, Synapse)
Experience with data workflow orchestration, particularly using Azure Data Factory
Solid understanding of version control systems and CI / CD pipelines, preferably Azure DevOps or GitHub
Familiarity with data governance concepts such as metadata management, data lineage, master data, and compliance
Business-level English communication skills (B2 or higher)
offered :
Long-term engagement
Equipment provided by the client
B2B contract
Remote work
Utwórz powiadomienie o ofertach pracy dla tego wyszukiwania