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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 scalable data pipelines using Python and SQL, while ensuring data quality and integrity. Proficient in data modeling with DBT and managing workflows with Airflow, alongside strong collaboration with analytics and data science teams.
Highest-signal resume keywords
Python ProficiencySQL ExpertiseDBT Data ModelingAirflow Workflow ManagementSnowflake Data Warehousing
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 ArchitectureETL/ELT ProcessesData OptimizationData GovernanceData Integrity
Soft Skills
Problem-SolvingAnalytical SkillsCommunication SkillsCollaboration
Tools & Technologies
SnowflakeDBTAirflowAWSAzureGCP
Certifications & Qualifications
Bachelor's Degree in Computer ScienceGraduate in Data Science
Industry Keywords
Data EngineeringData QualityData TransformationData WarehousingPerformance Tuning
Tech Stack
Tools & technologiesAirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSnowflakeSQL
About the role
Key responsibilities & impact- Design, develop, and optimize scalable data pipelines using Python and SQL
- Build and manage data models and transformations using DBT
- Develop and maintain workflows and scheduling using Airflow
- Work with Snowflake for data warehousing, performance tuning, and data optimization
- Ensure data quality, integrity, and reliability across all data systems
- Collaborate with Analytics, BI, and Data Science teams
- Monitor and troubleshoot data pipelines and workflows to ensure timely delivery
- Implement best practices for data governance, security, and compliance
- Lead data engineering strategy across projects
- Drive innovation in practices and optimization
- Represent the team in executive meetings
- Develop long-term data plans
Requirements
What you’ll need- Bachelor's Degree / Graduate in Computer Science, Data Science, or related field
- 4–6 years of experience in data engineering or related field
- Strong experience in SQL and data modeling
- Proficiency in Python for data engineering tasks
- Hands-on experience with Snowflake, including data warehousing, optimization, and performance tuning
- Experience with DBT for transformation and data modeling
- Experience with workflow orchestration tools such as Airflow
- Good understanding of ETL/ELT processes and data pipeline architecture
- Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus
- Strong problem-solving and analytical skills
- Excellent communication skills
- Ability to effectively collaborate with global stakeholders and teams