129 factory English-speaking jobs in Masovian Voivodeship

ensure testability is incorporated early in the development lifecycle.Engage with Quality teams and Factory

Requirements: Python, Azure Data Factory, Azure Cloud, Databricks ... knowledge and data engineering skills in spark-based data processing solutions (tech stack: Azure Data Factory

You have a background (or deep familiarity) with Azure DevOps, Data Factory, LogicApps, and Cloud databases

requirements-expected : Azure Cloud (ADLS Gen2, Data Factory, Synapse, Event Hubs, CosmosDB, Azure ML

Data Engineering and development of DWH solutions Hands‑on experience with Snowflake, dbt, Azure Data Factory

PySpark, SQL, and test automation frameworks experience with Azure Data Services (Databricks, Data Factory

industries Good understanding of CI/CD practices, ideally using Azure DevOps Familiarity with Azure Data Factory

Probation period: 100% on-site at the factory. Full‑time position.

. • Good understanding of Azure cloud data services (Data Lake, Data Factory, Azure SQL). • Problem-Solving

Javascript and .Net Technology we use Azure OpenAI Azure Machine Learning Cognitive Services Azure Data Factory

in the gold layer Hands-on experience with Python (PySpark) for data processing Experience with Data Factory

Nice to haves: Experience in the insurance industry Familiarity with Azure Data Factory Familiarity with

Familiarity with Azure data ecosystem (Azure Synapse, Azure Data Factory, ADLS).

Azure ML pipelines, GitOps, model versioning) Data processing and feature engineering using Azure Data Factory

You will use: Azure Data Factory (ADF) as the core engine for implementing complex ETL pipelines.

OOP & design patterns: Solid object-oriented design skills; familiarity with common design patterns (factory

Linux operating system Good understanding of deploying workloads to Azure Databricks and Azure Data Factory ... leveraging Azure Container Apps, Azure Functions, PostgreSQL, Redis, Azure Databricks, and Azure Data Factory

migrations to CRMs such as Salesforce and Microsoft Dynamics 365.Work with ETL tools such as Azure Data Factory

knowledge of Microsoft Azure: networking, storage, compute, AKS, Azure AD, Azure Monitor, Azure Data Factory

Sub, Google Kubernetes Engine, Apache Beam, Kafka, Spark, Snowflake, Data Lake Gen2, Event Hub, Data Factory