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Responsibilities:
- Design, build, and own batch-oriented data pipelines and ETL workflows using AWS Glue, Lambda, and Step Functions.
- Develop and optimize ingestion pipelines using AWS-native services such as AppFlow, DMS, and Kinesis/Firehose.
- Build and maintain analytical data models and query layers using Amazon Athena, Redshift, and ClickHouse.
Requirements:
- 8+ years of experience in data engineering or backend engineering.
- Strong hands-on experience with AWS Glue, Lambda, Step Functions, S3, Athena, and Redshift.
- Strong programming skills in Java and Python, and experience with containerized services on Amazon ECS.
Nice to have:
- Experience with Apache Airflow, Cube Semantic Layer, or ClickHouse at scale.
- Experience with financial or credit data systems and data quality frameworks.
- AWS certifications (Solutions Architect, Developer, or Data Analytics).
SavvyMoney
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 bank and credit union partners. It was recognized as a top workplace and Inc. 5000 fastest growing company, with a distributed team across the US, Canada, Europe, and India.