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Sr Data Engineer
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Sr Data Engineer
- Cincinnati, Ohio, United States
- Cincinnati, Ohio, United States
À propos
Senior Databricks Engineer
with deep hands-on experience designing and implementing large-scale data solutions on
Azure Databricks . The ideal candidate has real-world experience building and troubleshooting production-grade data pipelines, optimizing Spark workloads, managing Delta Lake architecture, and implementing DevOps best practices using IaC and CI/CD automation. Key Responsibilities
Design, develop, and maintain
data pipelines and ETL solutions
in
Azure Databricks
using PySpark and Delta Lake. Implement
data integration frameworks
and
API-based ingestion
using tools like
Apigee or Kong . Analyze, design, and deliver
enterprise data architecture solutions
focusing on scalability, performance, and governance. Implement
automation tools and CI/CD pipelines
using Jenkins, Ansible, or Terraform. Troubleshoot production failures and performance bottlenecks — fix partitioning, caching, shuffle, cluster sizing, and Z-ordering issues. Manage
Unity Catalog , enforce data security (row/column-level access), and maintain data lineage. Administer Databricks
clusters, jobs, and SQL warehouses , optimizing costs through auto-stop, job clusters, and Photon usage. Collaborate with cross-functional teams to drive data strategy and standards across domains. Create and maintain detailed
architectural diagrams , interface specs, and data flow documentation. Mentor junior engineers on Databricks, Spark optimization, and Azure data best practices. Required Skills & Experience
5+ years
of experience as a
Data Engineer
with strong hands-on experience in
Azure Databricks
and
PySpark . Solid understanding of
Delta Lake ,
Z-ordering ,
partitioning ,
OPTIMIZE , and
ACID transactions .
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Compétences linguistiques
- English
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