Senior Data Engineer (Native Databricks Preferred)

Requirements<\/h3>

Key Responsibilities<\/span><\/span><\/b>
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• Design and architect scalable data platforms and pipelines within <\/span><\/span>native Databricks environments<\/span><\/span><\/b>.<\/span>
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• Lead and execute <\/span><\/span>SAP to Databricks migration<\/span><\/span><\/b> projects, ensuring seamless data integration and transformation.<\/span>
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• Collaborate with business stakeholders, data engineers, and analysts to define architecture and data strategy.<\/span>
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• Implement best practices for <\/span><\/span>data governance, security, and performance optimization<\/span><\/span><\/b> on the Databricks platform.<\/span>
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• Develop and maintain <\/span><\/span>data models, ETL processes<\/span><\/span><\/b>, and <\/span><\/span>automation frameworks<\/span><\/span><\/b> for high -performance analytics.<\/span>
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• Guide and mentor technical teams on Databricks architecture, implementation standards, and platform utilization.<\/span>
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• Work closely with cloud teams (Azure, AWS, or GCP) to ensure seamless integration with enterprise data ecosystems.<\/span>
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• Stay current with Databricks feature releases and advancements to continuously enhance platform capabilities.<\/span>
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  Requirements<\/span><\/span><\/b>
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  • Databricks Platform Architect Certification<\/span><\/span><\/b> (mandatory).<\/span>
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  • 3+ years of hands -on experience<\/span><\/span><\/b> working with <\/span><\/span>native Databricks environments<\/span><\/span><\/b>.<\/span>
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  • Proven experience in <\/span><\/span>migrating data from SAP systems to Databricks<\/span><\/span><\/b>.<\/span>
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  • Strong expertise in <\/span><\/span>PySpark, SQL, Delta Lake, and Databricks Workflows<\/span><\/span><\/b>.<\/span>
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  • Solid understanding of <\/span><\/span>data warehousing concepts, data modeling, and ELT/ETL design patterns<\/span><\/span><\/b>.<\/span>
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  • Experience integrating Databricks with <\/span><\/span>cloud data platforms<\/span><\/span><\/b> (AWS S3, GCP Storage, or Azure).<\/span>
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  • Knowledge of <\/span><\/span>data governance, lineage, and security best practices<\/span><\/span><\/b>.<\/span>
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  • Excellent problem -solving, analytical, and communication skills.<\/span>
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  • Experience in <\/span><\/span>leading or architecting enterprise data solutions<\/span><\/span><\/b>.<\/span>
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