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Senior Data Engineer – Databricks Certified
Derex Technologies IncSenior Databricks Certified Data Engineer at Derex Technologies specializing in IT consulting and software services. Requires strong data engineering skills and expertise in Databricks and cloud ecosystems.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Databricks, including advanced concepts such as Genie Spaces and Agents, while proficient in Python or Scala for data engineering. Capable of designing and deploying high-performance data architectures across cloud ecosystems, with a strong focus on project delivery and client management.
Highest-signal resume keywords
Databricks Certified Data Engineer Professional CertificationExtensive Working Knowledge of DatabricksExperience with Apache Spark™️Working Knowledge of Cloud Ecosystems (AWS, Azure, GCP)Experience with CI/CD for Production Deployments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonScalaDatabricksApache Spark™️MLOpsData EngineeringData PlatformsAnalyticsCloud-native ComponentsEnd-to-end Data Architectures
Soft Skills
Documentation SkillsConflict ManagementClient Management
Tools & Technologies
Genie SpacesGenie CodeCI/CD Tools
Certifications & Qualifications
Databricks Certified Data Engineer Professional CertificationDatabricks Partner Champion Certificate
Industry Keywords
Data EngineeringData AnalyticsCloud EcosystemsDistributed ComputingTechnical Project Delivery
Tech Stack
Tools & technologiesApacheAWSAzureCloudGoogle Cloud PlatformPythonScalaSpark
About the role
Key responsibilities & impact- Must Have: Databricks Certified Data Engineer Professional Certification.
- Strongly preferred: Prior experience working in the Databricks Partner Program
- Databricks Partner Champion Certificate
- Comfortable writing code in either Python or Scala.
- Extensive Working knowledge of Databricks is required.
- Experience with advanced Databricks concepts such as Genie Spaces, Agents, and Genie Code.
Requirements
What you’ll need- Sr Databricks Certified Data Engineer Professional Certification.
- Strongly preferred: Prior experience working in the Databricks Partner Program
- Databricks Partner Champion Certificate
- 10+ years of experience in data engineering, data platforms & analytics.
- Comfortable writing code in either Python or Scala.
- Extensive Working knowledge of Databricks is required.
- Experience with advanced Databricks concepts such as Genie Spaces, Agents, and Genie Code.
- Experience handling or leading large scale projects/customers.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark™️ and knowledge of Apache Spark™️ runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Capable of design and deployment of highly performant end-to-end data architectures
- Experience with technical project delivery – managing scope and timelines
- Documentation and white-boarding skills
- Experience working with clients and managing conflicts
- Experience in building scalable streaming and batch solutions using cloud-native components.
Benefits
Comp & perks- All your information will be kept confidential according to EEO guidelines.