Senior Data Engineer
Proxify AB · Anywhere in the World · posted 1 year ago
About the Role
What You’ll Bring
- 5+ years of experience in Data Engineering.
- Strong expertise in data architecture and ETL pipeline design.
- Proficiency in Python, SQL, and frameworks like Apache Spark.
- Hands-on experience with data warehouse platforms (e.g., Redshift, BigQuery, Snowflake).
- Familiarity with cloud environments such as AWS, GCP, or Azure.
- Strong understanding of data modeling, governance, and security best practices.
- Must be located in CET timezone (±3 hours).
Key Responsibilities
- Design and maintain scalable data architectures, warehouses, and ETL pipelines.
- Build robust data integration processes ensuring accuracy and consistency.
- Develop data models to support analytical and business requirements.
- Collaborate with cross-functional teams to optimize data flow and usability.
- Implement automation and monitoring tools for performance and reliability.
- Ensure compliance with data governance and privacy standards.
Why Join Proxify
- 💰 Reliable Monthly Payments: On-time and transparent, every month.
- 🕗 Predictable Work Hours: Maintain a healthy work-life balance.
- 🌴 24 Flex Days: Paid time off to recharge and stay fresh.
- 🚀 Career Growth: Work with cutting-edge global companies.
- 🎯 Curated Roles: Get personally matched with long-term opportunities.
- 🔁 One-Time Process: One contract — unlimited opportunities.
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