
Data Engineering Lead
Há 3 dias
At a fast-scaling startup, we're seeking an experienced data engineer to drive the development of our data infrastructure.
As Senior Analytics Engineer, you'll play a crucial role in shaping our data systems, focusing on building and optimizing our data warehouse. You'll collaborate with engineering, product, and business stakeholders to design scalable, reliable, and high-quality data systems that become the foundation for insights and decision-making across the organization.
Key Responsibilities:
- Design, implement, and maintain scalable ETL/ELT pipelines using Airflow.
- Develop data models across the Medallion Architecture layers to support analytics and reporting.
- Optimize SQL queries for large datasets in AWS Athena and other relational systems.
- Build and maintain dashboards and BI workflows using Metabase.
- Collaborate with Product, Operations, and Analytics teams to define startup metrics and KPIs.
- Ensure data quality, governance, and reproducibility across the data warehouse/lake.
- Establish best practices for data engineering and analytics.
To excel in this role, you'll need:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 5+ years of experience in data engineering or related roles.
- Strong SQL expertise with experience tuning queries and designing efficient schemas.
- Hands-on experience with Airflow for workflow orchestration.
- Familiarity with AWS services, especially Athena, S3, and Glue.
- Experience building analytics dashboards with Metabase or similar BI tools.
- Understanding of Medallion Architecture and layered data pipelines.
- Strong understanding of startup/product metrics and how to translate them into analytics workflows.
- Proficiency in Python for data engineering and ETL tasks.
- Collaborative and able to work cross-functionally with product and business teams.
We offer:
- Competitive salary in USD
- Attractive stock options
- Unlimited PTO
- Relocation allowance
- Top-notch equipment
Join us for regular team offsites around the world, and be ready to turn raw data into actionable insights as a key member of our team.
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