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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining data pipelines, ETL processes, and data models, with a strong focus on Azure Databricks and data governance. Proven ability to optimize data solutions and collaborate effectively with business stakeholders to support analytics and reporting.
Highest-signal resume keywords
Azure DatabricksETL DevelopmentData GovernanceAgile MethodologiesData Warehousing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonPySparkSQLData ModelingData PipelinesData QualityKPI ReportingData MigrationData Solution OptimizationSnowflake
Soft Skills
Strong Communication SkillsStakeholder Management
Tools & Technologies
Azure Data FactoryPower BIAzure DevOpsGitAWS
Industry Keywords
Data Governance FrameworksAgile Delivery Processes
Tech Stack
Tools & technologiesAWSAzureETLPySparkPythonSQL
About the role
Key responsibilities & impact- Develop and maintain data pipelines, ETL processes, and data models
- Migrate data from multiple sources to Databricks
- Implement data quality and governance frameworks
- Optimize data solution performance
- Collaborate with business stakeholders
- Support analytics and KPI reporting
- Manage Agile delivery processes
Requirements
What you’ll need- Senior Azure Data Engineer with 10+ years of experience in building scalable data solutions
- Expertise in Azure Databricks, Azure Data Factory, Python, PySpark, SQL, data modeling, data warehousing, ETL development, and Snowflake
- Experience with data governance, Agile methodologies, stakeholder management, and strong communication skills
- Knowledge of Power BI, Azure DevOps, Git, and AWS is preferred
- Bachelor's Degree
