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Senior Data Engineer
RechargeSenior Data Engineer building scalable data pipelines and infrastructure for Recharge analytics and applications. Collaborating with teams to derive insights from data and empower decision-making.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftDockerETLKubernetesPythonSQL
About the role
Key responsibilities & impact- Build data pipeline, ELT and infrastructure solutions
- Create automated monitoring, auditing and alerting processes
- Work with business and application teams to implement data strategies
- Design, develop, implement, and optimize ETL processes
- Improve operations, monitoring and performance of data warehouse
- Influence and communicate with stakeholders
- Redesign and optimize existing data processes using AI
- Live by and champion company values
Requirements
What you’ll need- 5+ years experience in a data engineering related role
- 3+ years of hands-on experience designing and building data pipelines and models
- Experience with data warehouse, data lake and enterprise data management platforms (Snowflake, Redshift, etc.)
- Experience building data pipelines powering external and internal analytics applications
- Solid grasp to data warehousing methodologies like Kimball and Inmon
- Experience with ETL tools (FiveTran, dbt, Python)
- Experience with workflow orchestration management engines such as Airflow
- Hands on experience with Data Infra tools like Kubernetes, Docker
- Expert proficiency in SQL
- Strong Python proficiency
Benefits
Comp & perks- Health insurance
- 401(k)
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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
data pipelineETLdata modelingdata warehousingSQLPythonAIworkflow orchestrationdata lakedata management
Soft Skills
communicationinfluencestakeholder engagementcollaborationproblem-solving