Related skills
terraform aws sql python databricks📋 Description
- Define architectural vision for scalable, reliable data ecosystem
- Design, build, and maintain batch and streaming data pipelines
- Translate business needs into data solutions with stakeholders
- Identify architectural bottlenecks; plan scaling, performance
- Establish best practices for data modeling, orchestration, tooling
- Mentor engineers and drive data platform modernization initiatives
🎯 Requirements
- 7+ years in data engineering; scale data platforms
- Python and SQL proficiency
- Spark, PySpark, SparkSQL expertise
- Airflow and DBT for orchestration
- Databricks and AWS experience
- Terraform (IaC) and shell scripting; BS in CS or equivalent
🎁 Benefits
- Competitive medical, dental, and vision insurance
- Mental health resources
- Generous PTO and holidays
- Paid parental leave
- Education stipend for continued learning
- Wellness reimbursement
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