Offer:
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Private medical care
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Co-financing for the sports card
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Constant support of dedicated consultant
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Employee referral program
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Design, develop, and maintain scalable data solutions across Azure Synapse, Azure Databricks, and Data Lakehouse environments
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Implement and optimize ETL/ELT processes for ingesting, transforming, and serving data across multiple business domains
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Develop and maintain data processing solutions using Python, SQL, and Apache Spark
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Support migration and modernization initiatives, including Unity Catalog adoption, platform upgrades, and data platform transformations
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Build and maintain Databricks workflows, Delta Live Tables (DLT), metadata-driven frameworks, and orchestration processes
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Collaborate with architects, analysts, and business stakeholders to translate business requirements into technical solutions
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Ensure data quality, reliability, performance, and security across the data platform
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Troubleshoot production incidents, perform root cause analysis, and implement corrective actions
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Contribute to CI/CD, infrastructure automation, monitoring, logging, and operational best practices
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Optimize data pipelines, storage structures, and processing workloads for efficiency and cost reduction
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Participate in solution and architecture reviews while promoting engineering standards and governance principles
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Support knowledge sharing, mentoring, and technical development within the team
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Collaborate with Data Architects and platform teams to align solutions with enterprise data architecture, Lakehouse principles, and governance requirements
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Support reporting, analytics, and AI/ML initiatives by providing reliable and scalable data foundations
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Strong experience with Apache Spark, Python, and SQL
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Hands-on experience with Azure Cloud, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Data Explorer
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Proven experience in building and maintaining ETL/ELT processes
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Practical experience with Databricks, Delta Live Tables (DLT), and Unity Catalog
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Understanding of Lakehouse architecture, data governance, security, compliance, and operational excellence
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Familiarity with CI/CD, Azure DevOps, infrastructure automation, monitoring, and logging
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Strong analytical and problem-solving skills
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Ability to work independently with a high level of ownership and accountability
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Proactive approach to identifying risks, blockers, and improvement opportunities
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Strong communication and stakeholder management skills across technical and business teams
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Experience working in dynamic environments with frequently changing priorities and cross-functional teams
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Ability to make pragmatic decisions and deliver results despite incomplete requirements
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Adaptability, resilience, self-organization, and ability to independently drive initiatives and propose practical solutions
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English proficiency at minimum B2+ level
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