Senior Data Engineer

130 - 140 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#457935·Dodano miesiąc temu·2

Źródło: nofluffjobs.com

Tech Stack / Keywords

DCG is hiring for a Senior Data Engineer role focused on Azure Synapse, Azure Databricks, and Lakehouse data environments.

Strong experience with Apache Spark, Python, and SQL
Hands-on experience with Azure Cloud services including Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Data Explorer
Proven experience in building and maintaining ETL/ELT processes
Practical experience with Databricks, Delta Live Tables (DLT), and Unity Catalog
Understanding of Lakehouse architecture, data governance, security, compliance, and operational excellence
Familiarity with CI/CD, Azure DevOps, infrastructure automation, monitoring, and logging
Strong analytical and problem-solving skills
Ability to work independently with ownership and accountability
Proactive in identifying risks, blockers, and improvement opportunities
Strong communication and stakeholder management skills across technical and business teams
Experience in dynamic environments with changing priorities and cross-functional teams
Ability to make pragmatic decisions and deliver results despite incomplete requirements
Adaptability, resilience, self-organization, and initiative
English proficiency at minimum B2+ level

Design, develop, and maintain scalable data solutions across Azure Synapse, Azure Databricks, and Data Lakehouse environments
Implement and optimize ETL/ELT processes for data ingestion, transformation, and serving
Develop and maintain data processing using Python, SQL, and Apache Spark
Support migration and modernization initiatives including Unity Catalog adoption and platform upgrades
Build and maintain Databricks workflows, Delta Live Tables (DLT), and metadata-driven frameworks
Collaborate with architects, analysts, and business stakeholders to translate requirements into solutions
Ensure data quality, reliability, performance, and security
Troubleshoot production incidents, root cause analysis, and corrective actions
Contribute to CI/CD, infrastructure automation, monitoring, and logging best practices
Optimize data pipelines, storage, and processing workloads for cost and efficiency
Participate in solution and architecture reviews and promote engineering standards
Support knowledge sharing, mentoring, and technical development within the team
Collaborate with Data Architects and platform teams to align with enterprise architecture and governance
Support reporting, analytics, and AI/ML initiatives by providing reliable and scalable data foundations

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DCG

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