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Lead Data Engineer
A:20LabsLead Data Engineer designing and evolving scalable data platforms for a digital health company. Building reliable data pipelines and collaborating with cross-functional teams within cloud environments.
Tech Stack
Tools & technologiesBigQueryCloudETLKafkaPythonSQL
About the role
Key responsibilities & impact- Lead the design, development, and optimization of scalable data platforms and pipelines.
- Design, build, and maintain production-grade ETL/ELT workflows for batch and near real-time data processing.
- Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake.
- Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into scalable data solutions.
- Implement data quality, validation, monitoring, and observability frameworks.
Requirements
What you’ll need- 7+ years of experience in data engineering within cloud or hybrid environments.
- Strong experience designing, building, and maintaining production-scale ETL/ELT pipelines.
- Advanced SQL skills and proficiency with data transformation techniques.
- Strong Python programming skills for data processing and automation.
- Hands-on experience with Snowflake.
- Experience migrating from BigQuery or similar columnar data warehouse technologies.
- Experience with batch and streaming data processing platforms such as Kafka, Event Hub, or equivalent.
- Strong problem-solving and communication skills.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work arrangements
- Professional development opportunities
- Wellness programs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTSQLPythondata transformationdata processingdata qualitydata validationdata monitoringdata observability
Soft Skills
problem-solvingcommunication