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snowflake databricks hadoop kafka spark📋 Description
- Design end-to-end big data solutions with scalability, reliability, and performance.
- Design data models for structured, semi-structured, and unstructured data.
- Collaborate with engineering, data science, product, and infra teams for data flow.
- Optimize storage and processing layers for performance and cost-efficiency.
- Ensure high availability and disaster recovery for the data platform.
- Establish data governance: quality, metadata, lineage tracking.
🎯 Requirements
- Bachelor's or Master’s degree in Computer Science, Data Engineering, or related field.
- 10+ years in big data architecture and data engineering.
- Proficiency with Hadoop, Spark, Kafka, Hive, Presto, Flink.
- Data modeling, warehousing (Snowflake/Databricks/BigQuery), distributed systems.
- AWS and Terraform experience.
- Data privacy and financial data compliance knowledge.
🎁 Benefits
- Fully remote work freedom
- Competitive salary packages
- Flexible PTO + 9 company holidays
- Equity: Share in our start-up success
- Comprehensive and affordable insurance benefits
- Paid parental leave for both caregivers
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