Skills: 7+ years. Thought leadership.Java or Python. UI. Data platform or Data analytics web apps. SQL. AWS. bonus: ML, big data, Airflow, Domino

Key skills : Looks like a Senior Java Developer or Python Developer with

• Someone seasoned with thought leadership (does not need leadership) who can do their own designing/planning and development on their own.
• Around 7+ years with more backend experience (either Python or Java)
• Data platforms or data analytics web application
• UI (any UI; will be lighter/secondary)
• SQL
• AWS

Bonus skills : data pipelines integrated w/ ML, Domino, Apache Airflow, big data

JD This team is building an experimentation platform for batch data pipelines used to find examples of non-compliant or manipulative trading behaviors. You will work on cross-functional team consisting of product designers and analysts, and data engineers to design and implement solutions that enable downstream users to experiment with data pipelines in no/low-code manner.

Job Responsibilities:

• Interpret business needs to design a web application that supports business needs

• Act as the technical lead for both design and implementation leveraging industry standards and best-practices

• Develop performant and modular back-end systems to interact with existing Data Lakes and Data Platforms

• Develop responsive front-end systems for use by internal business users

• Shepard releases through the SDLC process through to production

Qualifications:

• 7+ years of experience building production quality web-based multi-tier web applications

• 4+ years experience building restful web services in Java (J2EE) or Python (Django/Flask)

• 2+ years experience building web front-ends with JavaScript UI frameworks such as jQuery, Angular, Node, or similar

• Experience building data platform or data analytics web applications

• Experience with SQL

• 4+ years experience building on Amazon AWS services

• Experience working in agile scrum methodologies using Continuous Integration/Continuous Delivery (CI/CD) development practices

• Experience writing automated unit, component, and integration tests

• Able to adapt to evolving business priorities and requirements

Nice to Have:

• Experience with data pipelines integrated with Machine Learning models

• Hands on experience with data pipelines and big data technologies such as Spark, Kafka, Flink, or similar

• Familiarity with Apache Airflow or similar

• Familiarity with Domino or similar

• Experience with serverless Big Data stacks