Senior Data Engineer on Cloud (Banking & Payments)
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Job Location:
Minneapolis, MN - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Senior Data Engineer on Cloud (Banking & Payments)
Location: Minneapolis MN
Experience: 10 Years
Domain: Financial Services (Banking Payments)
Tech Stack: Cloud (AWS / Azure / GCP) Python Jupyter DataRobot (preferred)
About the Role
We are seeking a Senior Data Engineer on Cloud with 10 years of experience to support high-impact initiatives within Banking and Payments. Based in Minneapolis MN this role partners with Business Intelligence Data Science Data Engineering Data Products Marketing Analytics UX/CX Research and Personalization teams to deliver scalable cloud-based data solutions and enable advanced analytics and machine learning use cases.
Key Responsibilities
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Design build and maintain cloud-based data pipelines and data products supporting BI analytics and ML use cases.
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Collaborate with Domain Data Stewards and Data Product Owners to translate business needs into scalable data solutions.
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Enable advanced analytics and ML workflows by preparing high-quality reliable datasets.
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Extract insights from domain-specific financial data and support model development.
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Communicate insights and recommendations via dashboards reports visualizations and presentations.
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Analyze gaps between business requirements and existing systems; propose optimal functional solutions.
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Demonstrate strong client management and leadership skills in cross-functional environments.
Must-Have Skills & Qualifications
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10 years of experience in data engineering / analytics roles.
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Strong Financial Services experience Banking & Payments (mandatory).
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Hands-on experience with Cloud platforms: AWS Azure or GCP.
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Strong programming skills in Python; experience using Jupyter Notebook.
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Solid foundation in data engineering: ETL/ELT data pipelines data modeling data quality.
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Ability to translate business requirements into data-driven solutions.
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Excellent stakeholder communication and presentation skills.
Good-to-Have Skills
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Experience with DataRobot or other AutoML tools.
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Exposure to Marketing Analytics Personalization Web Content Publishing.
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Support of UX Research CX Analysis and Market Research teams.
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Familiarity with data governance and working with data stewards.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
