Job Description
Role: Data Engineer
Location: St Louis MO. Hybrid
Contract: Long Term Job Description:
Must Have: Data Science, AI, Machine Learning and Oracle ERP
Generates reports and regular datasets or report information for end-users, using
system tools and database or data warehouse queries and scripts. May create
specifications for reports based on business requests. Designs, develops and programs methods, processes, and systems to consolidate
and analyze structured and unstructured, diverse sources to generate actionable
insights and solutions for client services and product enhancement. Analyzes and
models data to understand complex business issues and provide insight to decision
makers. Integrates data from multiple sources to produce requested or required data
elements. Programs and maintains reports, information dashboards, data generators,
canned reports and other end-user information portals or resources.
Uses advanced mathematical and statistical concepts and theories to analyze and
collect data; identifies and interprets trends and patterns in datasets.
Supports complex business problems and issues using unstructured data from internal
and external sources to provide insight to decision-makers.
Builds or defines machine learning / Artificial Intelligence (AI) solutions that create
value for the business.
Key Responsibilities Include
Addresses business problems by applying advanced analytics techniques through
broad parameters on big, unstructured data sets.
Designs databases for unstructured data sets, defining how the data will be stored,
consumed, integrated and managed.
Develops optimal techniques and problem-solves to understand and explore multiple
reasons for correlations between disparate data sets; provides coaching on how to
transform and clean data into an appropriate form for statistical analysis.
Conducts exploratory data analysis from complex data sources and builds key data
sets.
Works closely with data analysts and data engineers to review and provide feedback
on data pipelines and optimization opportunities.
Translates complex business requirements and technical designs into data science /
artificial intelligence solutions aligned to business goals that deliver measurable value to
the organization.
Bobby Sharma
Talent Acquisition Lead
U.S mobile: +1 +1 346-770-0775
Ext : 105
India mobile: +91 8368478945
Email id : [email protected]
www.sapear.com
Houston, TX, USA
Noida, UP, India
Location: St Louis MO. Hybrid
Contract: Long Term Job Description:
Must Have: Data Science, AI, Machine Learning and Oracle ERP
Generates reports and regular datasets or report information for end-users, using
system tools and database or data warehouse queries and scripts. May create
specifications for reports based on business requests. Designs, develops and programs methods, processes, and systems to consolidate
and analyze structured and unstructured, diverse sources to generate actionable
insights and solutions for client services and product enhancement. Analyzes and
models data to understand complex business issues and provide insight to decision
makers. Integrates data from multiple sources to produce requested or required data
elements. Programs and maintains reports, information dashboards, data generators,
canned reports and other end-user information portals or resources.
Uses advanced mathematical and statistical concepts and theories to analyze and
collect data; identifies and interprets trends and patterns in datasets.
Supports complex business problems and issues using unstructured data from internal
and external sources to provide insight to decision-makers.
Builds or defines machine learning / Artificial Intelligence (AI) solutions that create
value for the business.
Key Responsibilities Include
Addresses business problems by applying advanced analytics techniques through
broad parameters on big, unstructured data sets.
Designs databases for unstructured data sets, defining how the data will be stored,
consumed, integrated and managed.
Develops optimal techniques and problem-solves to understand and explore multiple
reasons for correlations between disparate data sets; provides coaching on how to
transform and clean data into an appropriate form for statistical analysis.
Conducts exploratory data analysis from complex data sources and builds key data
sets.
Works closely with data analysts and data engineers to review and provide feedback
on data pipelines and optimization opportunities.
Translates complex business requirements and technical designs into data science /
artificial intelligence solutions aligned to business goals that deliver measurable value to
the organization.
Bobby Sharma
Talent Acquisition Lead
U.S mobile: +1 +1 346-770-0775
Ext : 105
India mobile: +91 8368478945
Email id : [email protected]
www.sapear.com
Houston, TX, USA
Noida, UP, India
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