Data Engineer

Prediktive

Data Engineer

We are looking for a Data Engineer based in Latin America to work on a long-term project for one of our clients, a Software Development company based in Atlanta, Georgia. Our client is building a secure, bank-grade AI infrastructure and developing cutting-edge applications designed to power the next generation of modern banking and financial services.

Responsibilities:

Design, build, and maintain scalable data pipelines using Python for data ingestion, transformation, and processing.
Develop and optimize ETL workflows to support analytics and AI-driven applications.
Architect and manage data warehousing solutions, ensuring high performance and reliability.
Work with Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics) to implement robust data solutions.
Ensure data integrity, security, and compliance aligned with bank-grade infrastructure standards.
Monitor and troubleshoot data pipelines, identifying and resolving performance bottlenecks.
Implement best practices for data governance, documentation, and version control.
Support real-time and batch data processing needs for cutting-edge AI applications.

Requirements:

Advanced level of English.
6+ years of experience working with Python, specifically for data manipulation (Pandas, PySpark) and building custom API integrations.
Hands-on experience with ETL processes and tools, including pipeline design and optimization.
Experience with orchestration frameworks (e.g., Airflow, Prefect, or similar) and complex data/ML pipelines.
Strong understanding of security protocols (OAuth, Key Vault, Private Links) and data governance frameworks within a regulated environment.
Professional experience with Git and Azure DevOps/GitHub Actions for automated testing and deployment of data code.
Experience working with AWS data services (e.g., S3, Glue, Redshift, Lambda) to support data pipelines and scalable data processing.
Strong experience with both relational (PostgreSQL, SQL Server) and NoSQL databases.
Familiarity with Docker and Kubernetes for deploying containerized data services and microservices.
Bonus points: Bachelor's degree in Computer Science, Systems Engineering or related fields.

What we offer:

Long term positions
Compensation in USD
Paid time off
Cool clients and products
Work with great engineers
4tech

Apply

Vacancy posted 1 day ago

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