Sr. AWS Data Engineer
Sr. AWS Data Engineer
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Job Description
Our client is a tech company founded in 2016 that develops core software solutions for a leading financial group. With a strong focus on innovation the company delivers secure scalable platforms to support banking wealth management and compliance operations.
Key Responsibilities:
Data Pipeline Development
- Design and implement cloud-native pipelines for structured and unstructured data integrating sources such as APIs FTP/SFTP.
- Build high-performance batch and streaming pipelines with integrated monitoring and alerting systems to support analytical use cases.
Data Management
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Manage large-scale complex datasets aligned with business needs.
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Support metadata management and contribute to data governance efforts.
- Develop and run data quality tests covering both functional and non-functional aspects.
Data Modelling & Optimization
- Design database objects such as views tables and procedures to support data analytics.
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Optimize SQL queries and data models for performance and efficiency.
Operational Support & Collaboration
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Support production systems including troubleshooting and user support.
- Collaborate with analysts developers and stakeholders to understand requirements and deliver value-driven solutions.
Continuous Improvement
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Follow architectural and coding standards to ensure maintainability.
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Continuously evolve and optimize the platforms scalability and performance.
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Stay current with emerging tools frameworks and practices in data engineering.
Your Profile
Essential Qualifications & Experience:
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Degree in Engineering Computer Science or a related field.
- Hands-on experience with AWS services (e.g. S3 Lambda ECS RDS SNS/SQS IAM CloudWatch).
- Advanced SQL programming skills and familiarity with analytical and non-relational databases.
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Proficiency in Python and libraries such as Pandas and Boto3.
- Strong understanding of modern data architecture and governance best practices.
Valuable Additional Experience:
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Hands-on experience with Snowflake.
- Familiarity with CI/CD practices and orchestration tools (e.g. Step Functions Airflow Prefect).
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Experience with version control tools such as GitHub or GitLab.
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Knowledge of data visualization platforms (e.g. Tableau).
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Experience with Infrastructure as Code tools (e.g. Terraform CloudFormation).
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AWS and/or Snowflake certifications are a plus.
Soft Skills & Working Style:
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Agile mindset with a collaborative growth-oriented approach.
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Strong analytical and troubleshooting abilities.
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Detail-focused with a commitment to performance and quality.
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Comfortable working in Agile environments and tools like Jira.
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Excellent interpersonal and communication skills.
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Fluency in English; Portuguese and/or French is a plus.
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Team-oriented proactive and eager to continuously learn and improve.
Employment Type
Full Time
