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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 optimizing data pipelines on the Snowflake platform, with strong capabilities in SQL, data modeling, and cloud-based data solutions. Proficient in implementing data ingestion and transformation processes using modern tools while ensuring data quality and governance.
Highest-signal resume keywords
Snowflake OptimizationAdvanced SQL SkillsETL/ELT ExperienceData Modeling ExpertiseCloud-Based Pipelines
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 Pipeline DevelopmentData TransformationData IngestionSQL OptimizationData ModelingPython ProgrammingScala ProgrammingVersion Control (Git)CI/CD PracticesData Quality Assurance
Tools & Technologies
SnowpipeDbtEmbulkMeltanoPower BIAzure API AppsAWSGCP
Industry Keywords
Data GovernanceData ArchitectureAnalytics PlatformData WarehousingData Lakes
Tech Stack
Tools & technologiesAWSAzureETLGoogle Cloud PlatformPythonScalaSQL
About the role
Key responsibilities & impact- Design, develop, and maintain robust, scalable, high-performance data pipelines
- Implement and optimize data models and structures on the Snowflake platform, ensuring efficiency, governance, and security
- Build data ingestion, transformation, and integration processes using tools such as dbt, Snowpipe, Embulk, Meltano, or similar
- Ensure data quality through testing, validations, and continuous pipeline monitoring
- Optimize consumption, storage, and performance in Snowflake (warehouses, clustering, caching, micro-partitioning, access control)
- Support data architecture initiatives and the evolution of the analytics platform
- Implement effective monitoring and observability metrics and processes
- Expose data to end users via tools such as Power BI, Azure API Apps, or other modern visualization platforms
Requirements
What you’ll need- Strong experience with Snowflake (warehouses, databases, schemas, roles, Snowpipe, streams, tasks, optimizations)
- Advanced SQL skills (optimization, modeling, analysis)
- Experience with languages such as Python or Scala for pipelines and orchestration
- Proven experience with ETL/ELT and data transformation tools, preferably dbt
- Experience with cloud-based pipelines (Azure, AWS, or GCP)
- Knowledge of version control (Git) and CI/CD practices
- Experience with data modeling (dimensional, relational, and data lakes)
- Experience with ingestion tools such as Embulk, Meltano, or similar
Benefits
Comp & perks- Meal or food allowance (meal voucher)
- Multi-benefits card (up to Senior Consultant level)
- Health and dental insurance
- Certifications and training
- Life insurance
- Private pension plan
- Avababy: pregnancy support and newborn kit for new parents
- Profit-sharing (company results participation)
- Wellhub
- Childcare assistance
- Career mentoring
- Birthday Off policy (for you and children up to 12 years)
- Wellness sessions
- For managerial positions: company vehicle, parking, and fuel allowance
