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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 using Python, PySpark, SQL, and Snowflake, while ensuring data quality and integration with REST APIs. Proven ability to collaborate with engineering and analytics teams to deliver effective data solutions.
Highest-signal resume keywords
Python ProgrammingPySpark DevelopmentSQL Query OptimizationSnowflake Data WarehousingETL/ELT Workflow Management
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 EngineeringData Pipeline DesignData Quality ImplementationData ValidationData TransformationData ProcessingREST API IntegrationJSON HandlingData ModelingData Warehousing
Tools & Technologies
SnowflakeAWSAzureGCP
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSnowflakeSQL
About the role
Key responsibilities & impact- Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake
- Integrate REST APIs and external data sources into Snowflake-based data platforms
- Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing
- Develop efficient SQL queries and optimize Snowflake performance
- Implement data quality, validation, monitoring, and automation
- Collaborate with engineering and analytics teams to deliver reliable data solutions
Requirements
What you’ll need- 3+ years of experience in Data Engineering
- Strong hands-on expertise in Python, PySpark, SQL, and Snowflake
- Experience with REST APIs, JSON, and API-based data integration
- Knowledge of ETL/ELT processes, data modeling, and data warehousing
- Experience with cloud platforms such as AWS, Azure, or GCP is preferred
Benefits
Comp & perks- Remote work permitted
