Senior Data Engineer/Data Architect
6 days ago
Key Responsibilities:
- Lead the design and development of scalable, high-performance data platforms supporting analytics and AI/ML.
- Build and optimize ETL/ELT pipelines and data lakehouse solutions using Snowflake, Azure, and modern data tools.
- Collaborate with analytics and data science teams to ensure reliable, high-quality data.
- Drive innovation through automation, DevOps (Azure DevOps, GitHub), and modern data engineering frameworks.
- Mentor and guide junior engineers while ensuring best practices in data architecture and governance.
Qualifications:
- Bachelor's or Master's in Computer Science, IT, or related field.
- 5+ years' experience in data engineering or architecture, with strong expertise in Snowflake and cloud data platforms (Azure/AWS/GCP).
- Strong SQL and Python skills.
- Experience in data modeling, pipeline optimization, and data governance.
- Good communication and teamwork skills, with the ability to turn data into business insights.
- Excellent in English.
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