Your Mission
- Data Pipelines: Collaborate with team members to build data pipelines and implement both batch and real-time event-based ETL processes.
- Data Architecture: Assist in the design, development, and maintenance of the company's data architecture and processes.
- Cross-Department Solutions: Liaise with Marketing, Product, and Customer Support to identify needs, define tracking requirements, and propose solutions.
- Product Analysis: Generate analyses on product performance, user behavior, and marketing actions.
- Stay Updated: Keep up with data engineering trends, engage in user communities, and share insights with your team.
Your Profile
- Experience: Minimum of 1 year as a Data Engineer or Analytics Engineer.
- Technical Skills: Knowledge of SQL, ETL technologies (especially Airflow and DBT), and Python.
- AWS: Familiarity with constructing and deploying data pipelines and services within AWS, including S3 and Redshift.
- Data Visualization: Experience with Tableau.
- Language Skills: Excellent level in both English and Spanish languages.
Extra Bonus
- Additional AWS Services: Familiarity with Kinesis, Lambda functions, ECS, Apache Flink.
- Infrastructure Knowledge: Docker and Terraform.
- Educational Background: Bachelor’s degree in a quantitative discipline (Computer Science or Engineering).
- Interactive Analytics: Apache Zeppelin.
What do we Offer
- ⏰ Remote Work Flexibility: Enjoy a flexible schedule for better work-life balance.
- 🌈 Diverse Team: We promote gender equality and inclusion, valuing everyone's unique perspectives.
- 🎉 Team Building Events: Participate in fun activities that strengthen our connections.
- 🏢 Well-Equipped HQ: Modern workspace with a stocked kitchen, beer tap, ping pong table, and e-scooter parking.
- 🎂 Paid Leave on Your Birthday: Celebrate with a paid day off.
Benefits Extracted with AI
- Remote work flexibility
- Diverse team
- Team building events
- Well-equipped HQ
- Paid leave on your birthday
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