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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines, optimizing data processing performance, and implementing data governance practices. Proficient in utilizing Azure tools for secure cloud storage and automated infrastructure deployments.
Highest-signal resume keywords
ETL/ELT Pipeline DesignAzure Data FactoryData GovernanceAzure DevOpsPySpark Optimization
ATS Keywords
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Hard Skills
Data Pipeline MaintenanceBatch Data ProcessingReal-Time Streaming WorkloadsDimensional Data ModelingDatabase Query OptimizationData Quality ValidationEnd-to-End Lineage TrackingRelational DatabasesNoSQL DatabasesCloud Cost Optimization
Tools & Technologies
Azure SynapseAzure DatabricksADLS Gen2Delta LakeMicrosoft PurviewGitHub ActionsCI/CD Best PracticesAzure RBACKey VaultsEncryption Standards
Tech Stack
Tools & technologiesAzureCloudETLNoSQLPySpark
About the role
Key responsibilities & impact- Design, build, and maintain scalable ETL/ELT pipelines
- Architect and manage secure enterprise cloud storage
- Ingest and process high-volume batch data and real-time streaming workloads
- Optimize database queries, PySpark jobs, and data pipeline performance
- Collaborate with BI and analytics teams to model dimensional data marts for reporting
- Implement data governance, automated data quality validation, and end-to-end lineage tracking
- Secure data pipelines and storage using Azure RBAC, Key Vaults, and encryption standards
- Automate infrastructure deployments and code releases using Azure DevOps, GitHub Actions, and CI/CD best practices
- Collaborate with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives
Requirements
What you’ll need- Experience designing, building, and maintaining scalable data pipelines
- Experience with Azure Data Factory, Azure Synapse, and Azure Databricks
- Experience architecting and managing secure enterprise cloud storage
- Experience with ADLS Gen2, Delta Lake, and relational/NoSQL databases
- Experience processing high-volume batch data and real-time streaming workloads
- Experience optimizing database queries, PySpark jobs, data pipelines, execution time, and cloud costs
- Experience modeling dimensional data marts using Star/Snowflake schemas
- Knowledge of data governance, automated data quality validation, and end-to-end lineage tracking
- Experience with Microsoft Purview
- Experience securing pipelines and storage using Azure RBAC, Key Vaults, and encryption standards
- Experience automating infrastructure deployments and code releases using Azure DevOps, GitHub Actions, and CI/CD best practices
Benefits
Comp & perks- Significant career development opportunities
- Small, challenging, and entrepreneurial environment
- High degree of individual responsibility
- Equal employment opportunities regardless of protected characteristics