Data Engineer II - AWS / Python
Data Engineer II - AWS / Python
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Job Description
You thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorgan Chase within the Wealth Management division you will be part of an agile team dedicated to enhancing designing and delivering data collection storage access and analytics solutions in a secure stable and scalable manner. As an emerging member of the data engineering team you will execute data solutions by designing developing and troubleshooting various components within technical products applications or systems while acquiring the skills and experience necessary for growth in your role.
Job responsibilities
- Supports the review of controls to ensure sufficient protection of enterprise data.
- Reviews and makes customizations in one or two tools to generate a product at the businesss or customers request.
- Updates logical or physical data models based on new use cases.
- Frequently uses SQL and understands NoSQL databases and their niche in the marketplace.
- Contributes to the teams culture by promoting collaboration and innovation.
- Designs develops and maintains robust data pipelines to automate the extraction transformation and loading (ETL) of data from various sources into data warehouses or data lakes.
- Integrates data from multiple sources ensuring consistency accuracy and reliability.
- Collaborates with product owners to understand data requirements and provide solutions.
- Documents data pipeline processes and workflows for future reference and training.
Required qualifications capabilities and skills
- Formal training or certification on data engineering disciplines and 2 years applied experience
- Advanced proficiency in SQL (e.g. joins and aggregations)
- Working understanding of NoSQL databases
- Proficiency in programming languages such as Python/Java for data processing tasks
- Proficient in Object-Oriented Programming (OOP) concepts with a strong ability to design and implement robust reusable and maintainable code structures across various programming languages
- Experience with cloud platforms particularly Amazon Web Services (AWS) including EMR Glue Lambda and ECS to design deploy and manage scalable and efficient cloud-based solutions
- Hands-on experience with frameworks like Apache Spark leveraging its capabilities for large-scale data processing and analytics to drive efficient and insightful data solutions
- Experience in utilizing Cucumber and Gherkin for behavior-driven development (BDD)
- Proficiency in Unix scripting data structures data serialization formats such as JSON AVRO or similar and big-data storage formats such as Parquet
- Excellent communication skills to collaborate with cross-functional teams and stakeholders
- Understanding of data security best practices and compliance requirements.
Preferred qualifications capabilities and skills
- Java programming knowledge including experience with Maven CI/CD pipelines and Docker
- Provisioned infrastructure using a high-level configuration language
- Utilized Splunk to monitor and analyze system performance
- Flexibility and eagerness to learn new technologies and skills
Employment Type
Full-Time
