Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong employer brand, mid-level (5+ years), metro location, and attractive data-platform skillset.
Medium because core data platform skills transfer across industries but compliance and Databricks expertise add specificity.
High due to explicit 5+ years requirement and mandatory Databricks, cloud, Terraform, and data engineering skills.
Design, build, and test scalable cloud data platforms and self-service architecture to empower cross-functional teams.
Develop and maintain tools ensuring data security, privacy compliance (PII, PCI, CCPA, SOX, GDPR), and reliability through automation and anomaly detection.
Drive platform innovation by evaluating new tools, collaborating globally, and aligning architecture with company technology and SDLC strategies.
5+ years of experience in data engineering.
Strong expertise with Databricks and modern data stack technologies.
Proficient in at least one programming language (Python, Scala, or Java) plus advanced SQL skills.
Experience with big data pipelines in cloud environments (AWS/GCP/Azure), Terraform for IaC, and Git for version control.
Experienced in leading complex, cross-functional data engineering projects from concept to production deployment.
Strategic thinker with deep understanding of data modeling, architecture, and performance optimization for analytical workloads.
Able to communicate complex technical concepts effectively to non-technical stakeholders and collaborate across global teams.