Python Lead With (Snowflake & Azure)'

Job Posted 4 Days Ago Posted 4 Days Ago
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Chicago, IL
Expert/Leader
Artificial Intelligence • Cloud • Database • Analytics
The Role
The Python Lead Developer will oversee the design, development, and deployment of data pipelines and analytics tools on Azure and Snowflake. Responsibilities include ensuring platform scalability, security, and compliance, managing a team, and aligning technical solutions with business goals through collaboration with cross-functional teams.
Summary Generated by Built In

Hello Connections,
Hope you all are doing well!
We are Hiring a "Python lead Developer With (Snowflake & Azure)'
"Python Lead With (Snowflake & Azure)
Chicago, IL (Hybrid 3 Days a Week)
Long Term/W2 Preferred
Exp: Min 11+ years

Mandatory non-technical Skills:

  • Comm skills -Should be good. This requires extensive interaction with Business (please do not present profiles without good comms skills)
  • Team Lead experience including managing offshore development team

Technical Skills:

  • Python
  • Azure
  • Snowflake
  • Data Design
  • Microservices
  • React and/or Angular


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

 
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

Python
The Company
Cupertino, California
9 Employees
Hybrid Workplace
Year Founded: 2022

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

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