Senior Data Engineer with Databricks (Warsaw)

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SeniorOn-site·WarszawaFull-time

#465114·Dodano 3 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Data pipelinesDatabricks SQL ETLCloudAutomated testingCI/CD

Podsumowanie oferty

Build and maintain scalable data pipelines and reusable processing frameworks for enterprise data products. The role covers data ingestion, transformation, validation, and delivery using Databricks, SQL, and ETL/ELT processes.

Wymagania

Strong experience building data pipelines and transformation solutions.
Hands-on experience with Databricks.
Strong SQL skills and experience working with large-scale datasets.
Experience implementing ETL/ELT processes in cloud environments.
Experience developing data integration and transformation frameworks.
Familiarity with modern data architecture concepts, including Bronze, Silver, and Gold layers.
Experience with automated testing, reconciliation, and data quality processes.
Knowledge of software engineering best practices, version control, and CI/CD principles.
Ability to work in cross-functional delivery teams.
Strong analytical, troubleshooting, and problem-solving skills.
Effective communication and stakeholder collaboration skills.
Experience delivering solutions in enterprise-scale environments.

Obowiązki

Design, develop, and maintain scalable data ingestion and transformation pipelines.
Build metadata-driven data processing frameworks and reusable engineering components.
Develop and maintain data flows from landing, Bronze, and Silver layers through analytical consumption layers.
Create and optimize ETL/ELT processes supporting enterprise data products.
Implement reconciliation, data validation, and automated testing capabilities.
Support the development of data product delivery frameworks and engineering templates.
Participate in source-focused and domain-focused delivery pods.
Collaborate with data modelers, BI engineers, platform engineers, architects, and client stakeholders.
Support migration of legacy data processing workloads and analytical assets.
Develop monitoring, logging, and operational support mechanisms for data pipelines.
Contribute to CI/CD-driven engineering practices and automation initiatives.
Support knowledge transfer and handover activities to client engineering teams.
Participate in data quality, troubleshooting, and performance optimization activities.

Benefity

Training budget.
Private healthcare.
Multisport.
Integration events.
Mental health support.
Referral program.
Canteen.
Free snacks and beverages.
In-house trainings.
In-house hack days.

Dofinansowanie szkoleń

Opieka zdrowotna

Karta sportowa

Spotkania integracyjne

Firmowa stołówka

Darmowe przekąski

Napoje w biurze

Szkolenia wewnętrzne

Inne informacje

Work from the European Union region and a work permit are required.

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