Hope you all are doing well!
We are Hiring a Python lead Developer With (Snowflake & Java)
Python lead Developer With (Snowflake & Java)
Chicago, IL (Hybrid 3 Days a Week)
Long Term/W2 Preferred
Exp: Min 10+ years
Mandatory Skills:
- 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 lifecycle and structures and fund life cycle.
Technical Skills:
- Python
- Azure
- Snowflake
- Data Design
- Microservices
- React and/or Angular
- 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
- Proven experience in leading the design and development of large scale data platform
- Proven experience as a full stack developer or similar role
- Expertise 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
- Technology certifications on Azure, snowflake. Domain certifications on CFA
Benefits & Perks:
Part of our mission statement is to provide a great life for our employees. We believe that happy employees make for a better company, so we take care of them. Here are a few of the perks we offer:
- Flexibility for you to work in-office, hybrid or remote
- Medical and Dental Premiums
- Startup culture with opportunity to grow
- Performance bonuses
- Health, dental and vision insurance plans
- Pursue growth and learning with career development expenses
Top Skills
What We Do
Driving Innovation through Advanced Data and AI Services.
We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.
To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:
01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases
02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud
03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment
