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Data Engineer - FinTech - Amazon.com
Data Engineer
Build and optimize scalable data pipelines on AWS for finance and accounting analytics, using Redshift, Glue, EMR, Kinesis, Lambda, and Python to handle large structured and unstructured datasets.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and store financial data across AWS services.
- Implement and optimize data warehouses on Amazon Redshift for high‑performance analytics.
- Leverage AWS Glue, EMR, and Lambda to orchestrate ETL workflows and ensure data quality and security.
- Build real‑time streaming solutions using Kinesis and Firehose to support automated decision‑making.
- Collaborate with finance and accounting stakeholders to translate business requirements into scalable data models.
Requirements
- 3+ years of hands‑on experience as a Data Engineer, preferably in FinTech or financial services.
- Strong expertise with AWS services: Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
- Proficiency in Python and SQL for data transformation and querying.
- Experience designing secure, resilient data architectures for both structured and unstructured data.
- Ability to work cross‑functionally, communicate technical concepts clearly, and drive data‑driven solutions.