Senior Lead Data engineer - Data Platform Architect

Hybrid in Minneapolis, MN, US • Posted 7 hours ago • Updated 6 hours ago
Contract Corp To Corp
Contract W2
1 Year
Hybrid
$95 - $105/hr
Fitment

Dice Job Match Score™

🫥 Flibbertigibetting...

Job Details

Skills

  • Cloud Computing
  • Data Validation
  • Data Analysis
  • Amazon S3
  • Amazon Web Services
  • Aspect-oriented Programming
  • Big Data
  • Communication
  • Data Engineering
  • Data Mining
  • Data Profiling
  • Extract
  • Transform
  • Load
  • FP&A
  • Informatica
  • Microsoft Power BI
  • Machine Learning (ML)
  • Natural Language Processing
  • Modeling
  • SQL
  • Snow Flake Schema
  • Leadership
  • Information Technology
  • SAP FI
  • Oracle
  • Optimization
  • Deep Learning
  • Stakeholder Management
  • Slowly Changing Dimensions
  • Software Architecture
  • People Management
  • Marketing
  • Management
  • Dimensional Modeling
  • Forecasting
  • Requirements Analysis
  • Time Series

Summary

Role: US Data Engineer Data Platforms

Location: Minneapolis, MN 4 days onsite (Only Local applications will be considered)

Required skills:
This is a hands-on delivery lead role specialized in data engineering.

Strong communication skill to work with senior executives.

20-25 years of experience in Information Technology services across industries.

8-10 years of experience in designing Application Architecture on Data Platform using Machine Learning, --Deep Learning, Big Data Platforms, Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle, and SQL)
5 years of experience in designing data conformation from disparate data sources for data analytics
3 years of experience in Cloud platform (AWS)

Nice to have skills:
Continues from req. skills:
Informatica Intelligent Cloud Services - ETL Processes to handle high volume data for Power BI
Nice to have skills:
Power BI hands-on experience

And additional details:
Data Engineering - End to end solution in Data Engineering, Requirement analysis, SQL, AWS, S3, Snowflake, Dimensional Modeling (SCDs and its type), Data Profiling, Data Validation, Power BI (Good to have), Resource should be completely Hands on.
FP&A- Revenue, AOP, LBE, Rolling Forecast, S&OE, Marketing Expenses, Margin, Variance etc.
Stakeholder Management- Experience in managing senior leadership, managing team of Data engineers,
also, experience in SAP (Finance Data) would be added advantage.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10199915
  • Position Id: 9002281
  • Posted 7 hours ago
Contact the job poster
AR

Ashul Raina

Recruiter @ Infinite Computer Solutions (ICS)
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