Job
Title: Senior Python & Snowflake Data Engineer (Supply
Chain) (Locals Only)
Duration:
12+ Months
Location:
Houston, TX (Onsite)
HIRING
PROCESS: 2 ROUNDS OF VIRTUAL INTERVIEWS BEFORE AN OFFER WILL BE EXTENDED.
THIS IS AN URGENT NEED FOR NOV, SO THE CANDIDATE MUST HAVE IMMEDIATE
AVAILABILITY TO START IF SELECTED FOR HIRE.
Hands-on advanced python, SQL, and full-stack data analytics developer with
manufacturing and supply chain process impact experience.
JOB SUMMARY: Seeking a hands-on advanced python, SQL, and full-stack data
analytics developer with manufacturing and supply chain process impact
experience.
DEEP TECHNICAL EXECUTION SKILLS
- Advanced
Python + Snowflake SQL
- Snowflake
architecture & migration across environments
- Interactive
visualizations (PowerBI, SIGMA, Qliqview, or Streamlit)
- GitHub
automation & CI/CD
- Cloud-native
deployments
- Containerization
- API/service-account
design
- TDD &
rollback strategies
- Large-scale
relational data wrangling
BUSINESS PROCESS FLUENCY (Manufacturing / Supply
Chain)
- ERP and
MRP systems and data structures
- Understanding
of operational workflows in manufacturing and supply chain (Order-to-cash,
Procure-to-pay, Demand-to-deliver)
- Enterprise-scale
process understanding
COMMUNICATIONS AND IMPACT
- Translating
business requirements into technical delivery and technical issues into
business impacts
- ROI-driven
analytics
- Multi-geography
experience
- Demonstrated
business impact
JOB REQUIREMENTS:
- Five or
more years of professional data science experience in manufacturing and/or
supply chain environments
- Hands-on
experience working with ERP data and operational processes including
order-to-cash, procure-to-pay, and demand-to-deliver
- Proven
ability to communicate complex or technical concepts clearly to both
technical and non-technical audiences
- Advanced
proficiency in Python and SQL; experience wrangling large relational
datasets
- Strong
proficiency with Snowflake as a data platform
- Strong
proficiency in dashboarding and interactive visualizations, including
Power BI, SIGMA, Qliqview, or Streamlit
- Experience
deploying enterprise-scale solutions in cloud environments
- Proficient
in at least one data visualization library such as Matplotlib, Seaborn, or
Plotly
- Familiarity
with agile development best practices (model training and validation),
CI/CD pipeline implementation
- Able to
implement and manage GitHub repositories and automations, including
developing automated github workflows to move python projects and
Snowflake development (queries, procedures, data structures, and data)
from dev to test to prod environments.
- Demonstrated
ability to drive business impact and ROI through analytics
- Capable
of executive-level communication and influence
- Experience
leading cross-functional teams across multiple geographies
- Demonstrated
ability to translate business requirements into technical projects that
accomplish business objectives and achieve business value
- Experience
developing and deploying scalable enterprise-grade containerized
solutions, interactive front-ends, and back-ends using service accounts,
APIs, safe handling of developer keys, and development best practices.
- Experience
with test-drive development (TDD), deploying projects safety into
production with roll-back options, and other common development best
practices
Thanks,
Vardhan