Senior Data Platform Engineer – Python, AWS, MDM
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Job Description
Senior Data Platform Engineer managing Python-based solutions and AWS cloud services for a financial services company. Leading data engineering to support pricing analytics and trading systems.
Responsibilities:
- Architect and maintain Python applications using object-oriented programming (OOP) and enterprise design patterns.
- Build RESTful APIs and microservices with FastAPI or Flask.
- Use frameworks such as Pandas, NumPy, SQLAlchemy, and PySpark for advanced data processing.
- Implement solutions using AWS Lambda, Glue, Step Functions, S3, EventBridge, and Kinesis.
- Manage reproducible deployments using CloudFormation, AWS CDK, or Terraform.
- Containerize and orchestrate services with Docker, ECS, or Kubernetes.
- Design scalable ETL/ELT pipelines with Airflow, Prefect, or AWS Step Functions.
- Develop real-time and batch processing systems using serverless and event-driven architectures.
- Implement CI/CD workflows, automated testing (pytest), and data validation.
Requirements:
- Software Experience: 5+ years in software development, including 4+ years of production Python experience (including async programming).
- AWS Expertise: 3+ years hands-on experience with data-centric AWS services.
- Experience with Master Data Management (MDM).
- Architecture Knowledge: Strong understanding of ETL/ELT patterns and modern data architecture principles.
- Communication: Proven ability to explain complex technical concepts to business stakeholders and project managers.
Benefits:
- 100% Remote Work: Work from the location that helps you perform at your best—only a laptop and reliable internet required.
- Highly Competitive USD Pay: Receive market-leading compensation paid in USD.
- Paid Time Off: Generous paid time off to rest and recharge.
- Work with Autonomy: Flexible time management focused on results rather than hours.
- Work with Top American Companies: Collaborate on innovative, high-impact projects with industry-leading U.S. firms.
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