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aws snowflake sql s3 python📋 Description
- Design, build, and maintain our data warehouse and operational reporting platform on AWS.
- Develop and maintain data pipelines ingesting data from multiple sources including ThoughtMachine Vault.
- Build and maintain data models ensuring data accuracy, consistency, and accessibility.
- Work with business stakeholders to understand data needs and build reports and dashboards.
- Ensure data platform compliance with data privacy regulations, including PCI DSS.
- Implement data quality monitoring and alerting.
🎯 Requirements
- 5+ years of experience as a Data Engineer.
- FinTech/Banking domain experience desirable.
- Understanding of data warehousing concepts and dimensional modeling.
- Experience working in an Agile environment.
- AWS Developer Associate certification; extensive AWS data services experience (Snowflake, S3, Glue, Athena, Redshift).
- ETL/ELT tools: Airflow, dbt, Spark.
- SQL: expert knowledge of SQL and data modeling.
- PCI DSS requirements for data handling.
🎁 Benefits
- Competitive salary and rewards
- Work-life harmony with hybrid arrangement
- Generous annual leave and time off
- Employee referral program
- Health and pension benefits
- Workation: 30 remote days per year
- Volunteer days
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