What are the responsibilities and job description for the Senior Lead Data engineer - Data Platform Architect position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infinite Computer Solutions (ICS), is seeking the following. Apply via Dice today!
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.
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.