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Data Engineer, Databricks / Data Engineer
Selbetti Tecnologia. Design, develop, and maintain data pipelines in Databricks .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining data pipelines using Databricks, with a strong focus on data quality, security, and governance in cloud environments. Proficient in SQL and programming languages like Python or Scala, with hands-on experience in ETL/ELT processes and modern data architectures.
Highest-signal resume keywords
DatabricksSQLPythonETL/ELT PipelinesCloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData ModelingPerformance OptimizationData GovernanceData QualityCI/CD ToolsData MeshLakehouse ArchitectureOrchestrationVersion Control
Soft Skills
CollaborationCommunication
Tools & Technologies
Databricks JobsAirflowAzureAWSGCP
Certifications & Qualifications
Databricks CertificationCloud Certifications
Industry Keywords
Data-Driven CultureAnalyticsBusiness IntelligenceHigh-Scale Environments
Tech Stack
Tools & technologiesAirflowAWSAzureCloudETLGoogle Cloud PlatformPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design, develop, and maintain data pipelines in Databricks
- Model data for analytics, BI, and data products
- Optimize performance, cost, and governance in cloud environments
- Implement best practices for version control, testing, and observability
- Collaborate closely with Product, Engineering, and Business teams
- Ensure data quality, security, and reliability
- Contribute to standards, documentation, and a data-driven culture
Requirements
What you’ll need- Strong experience as a Data Engineer
- Hands-on experience with Databricks (Spark, Delta Lake, notebooks, jobs)
- Proficiency in SQL and one programming language (Python or Scala)
- Experience with ETL/ELT pipelines and orchestration (Airflow, Databricks Jobs, etc.)
- Knowledge of cloud platforms (Azure, AWS, or GCP) applied to data
- Understanding of data governance, quality, and security
- Databricks or cloud certifications
- Experience with Lakehouse, Data Mesh, or modern data architectures
- Experience with CI/CD tools for data
- Previous experience working on product teams or in high-scale environments
Benefits
Comp & perks- Autonomy to propose modern architectures and cloud best practices
- Opportunity to contribute to standards, documentation, and a data-driven culture