Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
JOB DESCRIPTION
Looking for a proactive, detail-oriented Senior Python Developer to support enterprise-wide third-party divisional data integration initiative.
Responsibilities:
- Work closely with Enterprise Third Party Business, MDM, and I&CM BTO support teams to support technology delivery activities in support of Enterprise Third Party Risk Reporting.
- Work with cross-functional teams on data model development, design of data integration architecture, and solution implementation.
- Collaborate with stakeholders to understand their needs and gather detailed business requirements.
Basic Requirements:
- 5 7 years of IT experience in software design, development, integration, and testing.
- 5+ years of hands-on experience with Python and microservices. Experience with popular Python frameworks such as Django and Fast API.
- 5+ years of experience with SQL, including complex query analysis and optimization.
- 3 5 years of experience with relational and cloud databases (e.g., Snowflake, PostgreSQL) and SQL/NoSQL technologies.
- Experience analyzing and joining large datasets across multiple sources.
- Experience in API development and integration, including building and consuming REST-based services for data-driven applications.
- 3 5 years of experience managing, building, and deploying code using tools such as Jira, Eclipse, GIT, Bitbucket, Gradle, Docker, and Jenkins.
- 3 5 years of experience designing and executing unit tests using Python testing frameworks based on business requirements and functional specifications.
- In-depth understanding of Python software development stacks, ecosystems, frameworks, and tools (e.g., NumPy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn).
- 2 3 years of experience building data processing pipelines using tools such as Apache Airflow, dbt, or similar.
- Experience integrating and ingesting data from multiple sources and designing large-scale data migration and transformation pipelines using PySpark, Databricks, or Airflow.
- 2 3 years of experience working in a cloud environment (AWS preferred).
- Bachelor s degree in Computer Science or a related field.
Preferred Skills:
- Tableau and other reporting tools experience is a plus.
- Experience with OAuth implementation using PING Identity.
- Work independently, contributing to the success of assigned project(s).
- Ability to design and lead implementation efforts, collaborating with DevOps, technical teams, business stakeholders, and external vendors.
- Demonstrated business acumen, problem-solving skills, intellectual maturity, and relationship management skills.
- Experience with ETL tools and data pipeline orchestration.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Skills
Django
Docker
Microservices
SQL
AWS
ETL
NumPy
OAuth
SciPy
Scikit-learn
Snowflake
Tableau
Airflow
Apache
Data Pipeline
Databricks
Git
Jenkins
Jira
Pandas
PostgreSQL
Python
REST
dbt
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