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Remote, mid-level generalist data engineer role with popular Azure skills increases candidate competition.
Azure and Databricks specialization moderately limits cross-industry transferability but core data skills remain transferable.
Explicit 5+ years requirement plus mandatory Azure/Databricks/Delta Lake tech stack raises screening rigidity.
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Design and implement scalable, cloud-native data pipelines and Lakehouse solutions on Azure supporting analytics, AI/ML, and Generative AI workloads.
Develop and optimize ETL/ELT processes, reusable data frameworks, and CI/CD pipelines to improve performance, scalability, and operational efficiency.
Lead technical design, architecture discussions, and mentor engineers while collaborating with cross-functional teams for business-driven data and AI solutions.
Minimum 5+ years of relevant experience with Azure Data Factory, Databricks, Delta Lake, Python, SQL/PL-SQL, PySpark, and Azure Data Lake (ADLS).
Experience with CI/CD pipelines using Azure DevOps and knowledge of data modeling, ETL/ELT pipelines.
English language proficiency at C1 Advanced level.
Work Experience Required: 5+ years explicitly mentioned.
Experienced in architecting and deploying enterprise-scale Lakehouse platforms on Azure with cloud modernization focus.
Proficient in building AI/ML and Generative AI supporting data pipelines, including unstructured data workflows like RAG and vector search.
Has technical leadership experience including mentoring engineers, driving design and architecture in cross-functional cloud data environments.