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Senior Data Engineer (Azure/Databricks)

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SeniorZdalnie·WarszawaFull-time·B2B

#467635·Dodano 16 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Microsoft AzureData LakeAzure SQLAzure Data FactoryEnglishDatabricks SQL Python

Podsumowanie oferty

As a Senior Data Engineer, you will help global pharmaceutical and FMCG customers build innovative big data products and services. You will design and deliver scalable data solutions for analytics and BI using Azure Databricks.

Wymagania

4+ years of experience in Azure and 6+ years of industrial experience in large-scale data management, visualization, and analytics.
Strong hands-on experience with Azure Databricks, including data engineering, data processing, and analytics workloads.
Hands-on knowledge of other Azure data services and technologies, such as Azure Data Lake, Azure SQL, and Azure Data Factory.
Good knowledge of SQL and Python.
Proactive approach, goal-oriented mindset, and strong problem-solving skills.
Strong communication skills for discussing technical issues with end users and clients.
Very good knowledge of English, with the ability to communicate effectively and explain and simplify technical topics for the business.

Nice to have:

Experience designing and implementing CI/CD pipelines for data and analytics solutions, preferably using Azure DevOps, and data orchestration through Databricks Workflows.
Good understanding of DevOps practices, version control, automated testing, and deployment processes.

Obowiązki

Design, develop, and maintain scalable data solutions in Azure Databricks for analytics and BI.
Manage the full data lifecycle, from acquisition and integration to analysis and visualization.
Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub, automating testing, deployment, and operations.
Deliver end-to-end data and analytics projects, from requirements and architecture to implementation and deployment.
Develop and optimize data pipelines, visualizations, analytics products, automated services, and APIs.
Ingest and integrate data from diverse sources into scalable, maintainable data platforms.
Ensure the performance, reliability, scalability, and data quality of data solutions.
Collaborate with multidisciplinary teams to turn data into models, insights, and production-ready solutions.
Identify opportunities to leverage data and models to improve products and customer solutions.
Advise clients and stakeholders on data, Databricks, and solution architecture, identifying optimization opportunities.

Benefity

Learning and development opportunities after the probation period, including an English language reimbursement program and an individual development budget.
Private medical care, a sports card, and a preferential life insurance plan.
A special summer bonus of ice cream.
Non-work activities, including Office Day, POP UP integrations, and competitions.

Kursy językowe

Dofinansowanie szkoleń

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Premie

Spotkania integracyjne

Inne informacje

Be willing to attend the Warsaw office as needed for customer visits, workshops, or important project periods requiring face-to-face teamwork.

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