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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 developing scalable data pipelines, implementing Lakehouse architectures, and applying DataOps principles. Proficient in data ingestion, transformation, and delivery processes using Python, PySpark, and SQL, while ensuring data quality and governance.
Highest-signal resume keywords
Data EngineeringETL/ELT Pipeline ImplementationDatabricksMicrosoft FabricData Modeling
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 LakesData WarehousesLakehousesDelta LakeDistributed ProcessingWorkload Optimization
Soft Skills
LeadershipCollaborationCommunication
Tools & Technologies
Azure Data FactoryAzure Data Lake Storage Gen2GitAzure DevOpsAzure Synapse AnalyticsDbtTerraformKafkaSpark Structured StreamingMicrosoft Purview
Industry Keywords
DataOpsCI/CDData GovernanceData QualityGenerative Artificial IntelligenceFinOpsCloud Cost OptimizationDigital Transformation
Tech Stack
Tools & technologiesAzureETLKafkaPySparkPythonSparkSQLTerraformUnity
About the role
Key responsibilities & impact- Design and develop scalable data pipelines for batch and streaming processing
- Implement Lakehouse architectures using Databricks and Microsoft Fabric
- Build data ingestion, transformation, and delivery processes with Python, PySpark, and SQL
- Define and implement DataOps, CI/CD, data governance, and data quality standards
- Develop analytical data models and medallion architectures (Bronze, Silver, and Gold)
- Integrate enterprise data sources, applications, APIs, and legacy systems
- Support Analytics, Business Intelligence, Artificial Intelligence, and Data Science initiatives
- Lead technical workshops, requirements-gathering sessions, and architecture discussions
- Ensure the performance, observability, security, and scalability of data solutions
Requirements
What you’ll need- Strong experience in Data Engineering and ETL/ELT pipeline implementation
- Advanced knowledge of data modeling, Data Lakes, Data Warehouses, and Lakehouses
- Proven experience with Databricks and Microsoft Fabric
- Knowledge of Azure Data Factory, Azure Data Lake Storage Gen2, SQL, Python, PySpark, Git, and Azure DevOps
- Experience with Delta Lake, distributed processing, and workload optimization
- Knowledge of Unity Catalog, Microsoft Purview, Kafka, and Spark Structured Streaming
- Experience with Azure Synapse Analytics, dbt, Terraform, and infrastructure automation
- Experience applying Generative Artificial Intelligence to data
- Knowledge of FinOps and cloud cost optimization
- Previous experience in consulting firms and digital transformation projects
Benefits
Comp & perks- Meal or food allowance
- Multi-Benefit Card (up to Senior Consultant level)
- Medical and dental insurance
- Professional certifications and training
- Life insurance
- Private pension plan
- Avababy: pregnancy support and a welcome kit for new parents
- Company profit-sharing program
- Wellhub
- Childcare assistance
- Career mentoring
- Birthday Off policy (one day off during your birthday month)
- Wellness sessions
- For management positions: company vehicle, parking, and fuel allowance