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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 optimizing ETL processes within the Snowflake platform, with strong capabilities in SQL and Python programming. Proven ability to enhance data quality, manage data pipelines, and collaborate effectively with engineering teams to support operational excellence.
Highest-signal resume keywords
Snowflake AdministrationAdvanced SQL SkillsPython ProgrammingData Pipeline OptimizationData Warehousing Concepts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL DevelopmentData ModelingPerformance TuningCost OptimizationTroubleshootingData Quality FrameworksCI/CD PracticesApache SparkAzure ServicesAI Tools
Soft Skills
Problem-SolvingCollaboration
Tools & Technologies
SnowflakeAWSDatabricksSynapseFabric
Industry Keywords
Data EngineeringData GovernanceData QualityOperational Excellence
Tech Stack
Tools & technologiesApacheAWSAzureETLPythonSparkSQL
About the role
Key responsibilities & impact- Develop, maintain, and enhance ETL processes within the Snowflake platform
- Extend and adjust existing data models and warehouse structures
- Monitor, analyze, and improve data quality across the platform
- Administer Snowflake environments, including roles, warehouses, and access management
- Investigate, troubleshoot, and resolve issues within data pipelines and warehouse solutions
- Optimize Snowflake workloads for performance, scalability, and cost efficiency
- Collaborate with data engineering teams and stakeholders to deliver reliable data solutions
- Support operational excellence and continuous improvement initiatives within the data platform ecosystem
Requirements
What you’ll need- 5+ years of experience in Data Engineering
- Strong hands-on experience with Snowflake in AWS environments
- Advanced SQL skills
- Solid programming experience in Python
- Proven experience developing, maintaining, and optimizing data pipelines
- Strong troubleshooting and problem-solving skills
- Experience with performance tuning and cost optimization
- Knowledge of data warehousing concepts and data modeling
- Ability to work effectively in production support and enhancement activities
- Experience with Azure services such as Databricks, Synapse, or Fabric (nice to have)
- Familiarity with Apache Spark (nice to have)
- Experience with CI/CD practices and tools (nice to have)
- Knowledge of data governance and data quality frameworks (nice to have)
- Experienced in using AI tools in day-to-day workflow (nice to have)