Senior Data Engineer (Azure / Databricks)

150 - 170 PLN/ godz./ godz.B2BB2B (netto)

SeniorOn-siteFull-time·B2B

#457987·Dodano 21 dni temu·0

Źródło: ITELENCE

Tech Stack / Keywords

Azure DatabricksAzure Data LakeAzure SQLAzure Data FactorySQL PythonAzure DevOpsGitHub

ITELENCE is a rapidly growing company supporting its international clients in their business and digital transformation.

Minimum 6 years of professional experience in data management, analytics, and large-scale data engineering solutions.
At least 4 years of experience working with Microsoft Azure.
Practical and strong knowledge of Azure Databricks, specifically in data engineering, data processing, and analytics.
Hands-on experience with Azure services such as Azure Data Lake, Azure SQL, and Azure Data Factory.
Very good knowledge of SQL and Python.
Experience designing, developing, and optimizing scalable data pipelines.
Experience delivering complex data engineering and analytics projects, including design, implementation, and deployment.
Ability to ensure quality, performance, and reliability of data solutions.
Good communication skills and experience collaborating with clients and business stakeholders.
Very good command of the English language.

Nice to have:

Experience designing and implementing CI/CD processes for data engineering and analytics solutions, especially using Azure DevOps.
Knowledge of Databricks Workflows and orchestration tools for data processing.
Good knowledge of DevOps practices, version control, automated testing, and deployment processes.

Design, develop, and maintain scalable data solutions in Azure Databricks for analytics and Business Intelligence.
Manage the full data lifecycle from acquisition and integration through processing, analysis, and visualization.
Design, develop, and optimize data pipelines and integrate data from various sources.
Create and maintain CI/CD processes using Azure DevOps and/or GitHub, including automation of testing, deployment, and maintenance.
Execute comprehensive data & analytics projects from requirements analysis and architecture design to implementation and production deployment.
Develop and optimize analytical products, visualizations, automated services, and APIs.
Ensure high performance, reliability, scalability, and data quality.
Collaborate with technical, analytical, and business teams to deliver deployable data solutions.
Identify opportunities to leverage data and models to improve products and business processes.
Provide technical advice to clients and stakeholders on Azure, Databricks, and data solution architecture.
Identify opportunities to optimize existing platforms, data processing workflows, and analytical solutions.

Participation in a long-term project for international clients.
Remote work.
Opportunity for professional development in modern data technologies, Azure, and Databricks.
Private healthcare.
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ITELENCE

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