GenAI Azure Data Engineer
PragmileWarszawa, Masovian, Poland11 dni temu
Opis pracyWe are looking for an experienced Data Engineer / Data Architect to lead the design, development, and optimization of enterprise-scale data solutions on Microsoft Azure, with additional expertise in Google Cloud Platform (GCP). This is a hands-on individual contributor role focused on building scalable and efficient data platforms, developing complex ETL / ELT pipelines, and enabling seamless multi-cloud integration. The ideal candidate combines strong technical depth with practical experience in data architecture, governance, and automation (CI / CD) within large-scale enterprise environments. Azure-Centric Data Engineering Design and deploy Azure data platforms : Data Lakes : Azure Data Lake Storage (ADLS Gen2) with Delta Lake optimizations. ETL / ELT : Azure Data Factory, Synapse Analytics, and Databricks workflows. Data Warehousing : Synapse Dedicated Pools, Azure SQL DB. Optimize Spark workloads (e.g. Azure Databricks) for performance tuning (partitioning, caching). Implement real-time pipelines : Azure Event Hubs, Stream Analytics, and IoT Hub integrations. Ensure data governance : Enforce data quality with Azure Purview (lineage tracking, sensitivity labeling). Implement RBAC and Azure Active Directory (AAD) integration for secure access. Build real-time analytics pipelines : Process streaming data via Azure Event Hubs / Stream Analytics with windowing and watermarking strategies. Operational Excellence Automate CI / CD pipelines. Lead disaster recovery (DR) Manage data lifecycle Core Azure Expertise Advanced SQL, PySpark, and Python. Infrastructure-as-Code (Terraform, ARM / Bicep). Performance tuning (partitioning, indexing, query optimization). Azure Services : Data Factory (ADF), Synapse, Databricks, Cosmos DB. DevOps (Azure Pipelines, Repos), Monitor, and Security Center. GCP Proficiency (nice to have) : BigQuery (partitioned tables, materialized views). Cloud Storage, Dataflow, Pub / Sub. IAM and VPC networking. Looker, Dataproc, Composer (Airflow). Opportunity to lead end-to-end design of advanced, enterprise-scale data platforms in Azure and multi-cloud environments. Work with modern technologies (Azure, Databricks, Terraform, GCP) in a highly technical, hands-on role. Supportive, growth-oriented environment with opportunities for certification and continuous learning. A training budget to support your technical and professional development Private medical care and co-financing of a sports card Flexible working hours and the option to work fully remotely sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses remote work opportunities flexible working time integration events
technologies-expected :
- Python
- SQL
- Terraform
- PySpark
- CI / CD
- Azure Services
about-project :
responsibilities :
requirements-expected :
offered :
benefits :
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