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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Data Engineering, focusing on the development and optimization of ETL/ELT processes using Azure Databricks, Azure Data Factory, and SQL. Proficient in data analysis, validation, and ensuring data quality across multiple systems.
Highest-signal resume keywords
Azure DatabricksAzure Data FactoryETL/ELT DevelopmentAdvanced SQL SkillsPython
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop, maintain, and optimize data pipelines using Azure Databricks, PySpark, Azure Data Factory, Python, and Azure Data Lake
- Build and support ETL/ELT processes for enterprise data integration and analytical needs
- Perform data ingestion, transformation, validation, and reconciliation from multiple systems
- Conduct data analysis and profiling, identifying quality issues and ensuring the consistency and reliability of information
- Develop, write, and optimize complex SQL queries to achieve high-performance data processing
- Perform performance tuning and troubleshooting for large-scale workloads
- Resolve Level 2 production incidents involving Azure Data Factory pipelines, Databricks jobs, and data processing workflows
- Monitor and support production pipelines, ensuring availability, scalability, and operational efficiency
- Support deployment and release processes across development, staging, and production environments
- Manage priorities and demands across multiple projects, working autonomously and with a strong focus on meeting deadlines
Requirements
What you’ll need- More than 8 years of experience in Data Engineering
- Proven experience in Data Engineering and ETL process development
- Strong hands-on experience with Azure Databricks and Azure Data Factory (ADF)
- Advanced proficiency in ETL/ELT development and data transformation
- Advanced SQL skills, including the development, optimization, and tuning of complex queries
- Experience with Python and PySpark
- Experience with Azure Data Lake and enterprise data integration
- Experience with data analysis, validation, profiling, and quality assurance
- Experience supporting, monitoring, and troubleshooting production pipelines
- Ability to work independently, stay organized, and manage priorities
- Strong verbal and written communication skills
- Advanced English proficiency is required
- Preferred: experience with CI/CD pipelines and DevOps practices
- Preferred: knowledge of Git, Azure DevOps, or similar version control and deployment tools
- Preferred: familiarity with monitoring, logging, and observability tools in cloud environments
Benefits
Comp & perks- CLT employment contract
- Fully remote work
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 EngineeringETL Process DevelopmentData TransformationData IngestionData ValidationData ProfilingPerformance TuningTroubleshootingComplex SQL QueriesData Quality Assurance
Soft Skills
Strong Communication SkillsOrganizational SkillsAbility to Work IndependentlyDeadline Management
Tools & Technologies
Azure Data LakeCI/CD PipelinesDevOps PracticesGitAzure DevOps
Industry Keywords
Data IntegrationProduction PipelinesCloud EnvironmentsMonitoring ToolsObservability Tools