Senior Data Engineer - FinTech
New
EMEA and LATAMFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLCI/CDTerraformAWS Lambda
Requirements
- 5+ years of experience building and maintaining data pipelines and ETL/ELT systems
- Strong hands-on experience with AWS data services (S3, EventBridge, Athena, Lambda) and serverless architectures
- Proficiency in Python for data transformation and pipeline development
- Advanced SQL skills for querying and validating large datasets
- Experience working with analytics-ready data stores and end-to-end pipeline delivery
- Ability to troubleshoot and optimize cloud-native data pipelines
- Experience working with infrastructure as code (Terraform) and multi-environment deployments
- Familiarity with CI/CD practices for data infrastructure
Responsibilities
- Design and maintain data pipelines and ETL/ELT workflows, including batch extraction, transformation, and loading into analytics-ready data stores
- Build and operate event-driven, serverless data processing systems using AWS services such as S3, EventBridge, Lambda, and Athena
- Develop Python-based data processing components for parsing and transforming data within Lambda environments
- Write and optimize SQL queries for data validation and analysis using Athena
- Create and maintain embedded analytics dashboards for customer-facing reporting using AWS QuickSight
- Provision and manage data infrastructure using Terraform, ensuring consistent deployments across environments
- Implement CI/CD pipelines and monitoring/alerting for reliable data platform operations
- Extend and improve existing pipeline frameworks while working within legacy systems
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