Azure Data Transformation Engineer (Contract)

BELVEDERE

Gdynia

On-site

PLN 248,000 - 303,000

Full time

5 days ago
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Job summary

BELVEDERE is seeking a Developer to join on-site in Gdynia/Krakow for a 6-month contract to lead Azure data transformation initiatives using PySpark, Azure Fabric, and Azure SQL/PostgreSQL. You will assess applications, design transformation strategies with architects, plan backlogs, and guide teams through planning to UAT, contributing to strategic data model implementations.

You will work closely with architects and development teams to migrate and modernise data platforms using Azure

Qualifications

  • 8-10 years of software development experience.
  • Strong Python programming skills.
  • Proven experience with PySpark and DevOps in Azure.

Responsibilities

  • Assess current applications and collaborate with architects on transformation strategy.
  • Determine application complexity and estimate effort required.
  • Design technical solutions based on requirements and target architecture.
  • Plan and prioritise development backlogs for transformation activities.
  • Guide development teams through application transition phases.
  • Support customer UAT activities and testing processes.
  • Work with DBOR data flows and processing schemas.
  • Implement solutions using Azure/Fabric and PySpark services.

Skills

Python programming
PySpark
DevOps in Azure
Azure Kubernetes Service
Azure SQL / PostgreSQL
OneLake Delta DB
DBOR data flows
Strategic data models
Collaboration with architects

Tools

Azure Fabric
CosmosDB

Job description

BELVEDERE is seeking a Developer to join on-site in Gdynia/Krakow for a 6-month contract to lead Azure data transformation initiatives using PySpark, Azure Fabric, and Azure SQL/PostgreSQL. You will assess applications, design transformation strategies with architects, plan backlogs, and guide teams through planning to UAT, contributing to strategic data model implementations.

You will work closely with architects and development teams to migrate and modernise data platforms using Azure

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