Overview
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Skills
Analytical Skill
Apache Kafka
Apache Spark
Cloud Computing
Collaboration
Communication
Conflict Resolution
Continuous Delivery
Continuous Integration
Control Flow Analysis
Data Analysis
Data Engineering
Data Governance
Data Processing
Data Quality
Debugging
Django
Docker
ELT
Extract
Transform
Load
Flask
Innovation
Investments
Java
Kubernetes
Leadership
Management
Microsoft Azure
Private Equity
Problem Solving
Programming Languages
Python
RESTful
Real-time
Regulatory Compliance
SQL
SQL Azure
Scalability
Scripting
Snow Flake Schema
Storage
Venture Capital
Job Details
Role : Python Lead
Location: Chicago - Hybrid
Strong background in data engineering, platform architecture, sound technical knowledge on full stack technologies.
Strong Python and Java with good engineering and problem solving skills mindset
Key Responsibilities
- Lead the development, design, development and deployment of data pipelines, storage solutions and analytic tools
- Ensure scalability, reliability and security of the platform to meet current and future demands.
- Oversee the implementation of data lakes, warehouses and ELT/ETL pipelines on azure and snowflake
- Develop and Review code and ensure adherence to development best practices and standards
- Foster a culture of collaboration, innovation and continous improvement within the team.
- Drive integration of real-time and batch data processing capabilities.
- Ensure compliance with data governance policies, security and regulatory requirements.
- Implement robust data quality, lineage and cataloging processes
- Build and integrate APIs and backend systems using frameworks like Django, Flask or FastAPI
- Develop scripts and tools for data analysis, transformation and automation
- Write unit tests, integration tests and conduct debugging to ensure software quality
- Work closely with cross-functional teams including developers, product managers, business analysts and other stakeholders to align the data platform with organizational goals
- Translate business requirements into scalable technical solutions
Qualifications
- Proven experience in leading the design and development of large scale data platform
- Proven experience as a full stack developer or similar role
- Experise in data platform technologies - snowflake, Azure SQL Server
- Proficiency in data engineering tools and frameworks - Apache Kafka, Spark,
- Strong understanding of cloud platforms - Azure and containerization (Docker, Kubernetes)
- Experience with both batch and real-time data processing
- Deep knowledge of SQL and programming languages - JAVA/Python
- Strong Problem-solving communication and leadership skills
- Experience of code deployments using CI/CD Pipelines
- Proficiency with code repos GitHub
- Knowledge and experience developing restful APIs
- Certifications in Snowflake, Azure
- Experience in Alternatives (Private equity, Private Capital, Co-investments, debt, venture capital, hedge and real assets) domain,
- working with private market industry solutions, Investran, Alterdomus, iCapital, Subscribe, backstop, chronograph
- Strong understanding of private market operations, investment lifecyle and structures and fund life cycle.
- Technology certifications on Azure, snowflake. Domain certifications on CFA
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