Senior Lead Python Engineer to join a large team at banking client to move and ingest data as needed to meet financial regulatory audit requirements.
Prior Banking experience is a MUST HAVE
New details for this engineer role will leverage SQL outside of an ORM semantic versioning FastAPI experience asynchronous operations Moving forward the focus should be on data engineering with some python/microsvcs expertise. A former DBA would probably be a pretty good fit. Any future candidates will need to have the below at a minimum in addition to being skillmapped against the JD from yesterday.
Has strong experience leverage SQL/data modeling outside of an ORM Familiarization with semantic versioning FastAPI Django and/ or Flask (microsvcs dev experience) ARQ/Redis experience Has used asynchronous operations Developed microsvcs using Jango Flask or some other mechanism As mentioned before experience with DBT (Data Build Tool) would be HUGE however probably a needle in the haystack.
Job Description:
This role will join a large bank project development team to move and ingest data as needed to meet financial regulatory audit requirements. It will build Python services within a distributed highly available system leveraging and possibly updating CI/CD pipelines and incorporating automated testing using Pytest. This includes crafting the logic that solves data problems that come up when dealing with disparate systems like data ingress quality governance and transformation.
Responsible for designing developing and maintaining the internal IT control reporting system.
- Design develop and maintain system using Python and PostgreSQL.
- Collaborate with crossfunctional teams to identify business requirements and develop solutions that meet those needs.
- Participate in agile development processes including sprint planning daily standups and retrospectives.
- Write highquality testable and maintainable code that adheres to our coding standards.
- Develop and maintain APIs including design implementation and testing.
- Participate in code reviews and provide constructive feedback to peers.
- Troubleshoot and resolve technical issues including debugging and optimizing code.
- Take ownership of tasks and work independently while also being a strong team player collaborating with others
Must Haves:
Minimum 5 years of software engineering delivering using eventdriven architectures and Python
Minimum 2 years of working with Micro Svcs Git SQL programming using PostgresSQL
Minimum 2 years Unit Integration Functional Data Quality (sourcetotarget) testing
Minimum 1 year of working on an Agile Scrum delivery project
Experience working with tera/petabytes of data(Financial Services/Banking)
Good software design experience and knowledge of design principles
Solid communication skills and experience working directly with Customer SEs and Product Owners
Leadership mentality
Very strong teamwork spirit and ability to collaborate with crossfunctional stakeholders and teams
Ability to take ownership of tasks and provide effective design and implementations
Nice to Have:
- Experience with Python modules: TOX Panda Pycodestyle and Black
- Queuing Svcs Redis Queue Postgres FastAPI and Pytest
- Terraform Ansible Bash and Docker Compose
Sr Python Lead SQL/data modeling outside ORM with semantic versioning FastAPI, Django & micro-svc's Banking Client so prior financial services experience IS A MUST. ARQ/Redis experience Has used asynchronous operations Developed micro-svc's using Jango, Flask or some other mechanism As mentioned before, experience with DBT (Data Build Tool) would be HUGE, however probably a needle in the haystack. This role will join a large bank project development team to move and ingest data as needed to meet financial regulatory audit requirements. It will build Python services within a distributed, highly available system, leveraging and possibly updating CI/CD pipelines and incorporating automated testing using Pytest. This includes crafting the logic that solves data problems that come up when dealing with disparate systems, like data ingress, quality, governance, and transformation. Responsible for designing, developing, and maintaining the internal IT control reporting system. Design, develop, and maintain system using Python and PostgreSQL. Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs. Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives. Write high-quality, testable, and maintainable code that adheres to our coding standards. Develop and maintain APIs, including design, implementation, and testing. Participate in code reviews and provide constructive feedback to peers. Troubleshoot and resolve technical issues, including debugging and optimizing code. Take ownership of tasks and work independently, while also being a strong team player collaborating with others Must Haves: Minimum 5 years of software engineering delivering using event-driven architectures and Python Minimum 2 years of working with Micro Svc's, Git, SQL programming using PostgresSQL Minimum 2 years Unit, Integration, Functional, Data Quality (source-to-target) testing Minimum 1 year of working on an Agile Scrum delivery project Experience working with tera/petabytes of data Good software design experience and knowledge of design principles Solid communication skills and experience working directly with Customer SE's and Product Owner's Leadership mentality Very strong teamwork spirit and ability to collaborate with cross-functional stakeholders and teams Ability to take ownership of tasks and provide effective design and implementations Nice to Have: Experience with Python modules: TOX, Panda, Pycodestyle and Black Queuing Svc's, Redis Queue, Postgres, FastAPI and Pytest Terraform, Ansible, Bash, and Docker Compose
Education
Master's Preferred