Data & AnalyticsData Engineering, Business Intelligence
About the job
Requirements
A Bachelor's degree or higher, or equivalent, in Computer Science or an engineering-related field is required.
At least 3 years of experience in data engineering, data warehousing, and reports is required.
Experience with data modeling, SQL, extract-transform-load, data warehousing, and data lakes is required.
Experience in data analysis and engineering, extract-transform-load and analytics, reports, and building real-time data products is required.
Experience writing SQL scripts, functions, and stored procedures, with expertise in an enterprise relational database management system, is required.
Experience with enterprise-class Business Intelligence tools such as MicroStrategy, Tableau, and Pentaho is required.
Experience with a scripting language such as Python, Perl, R, or JavaScript is required.
Strong knowledge of Amazon Web Services products and services is required.
Responsibilities
Analyze complex data structures across various data sources in a heterogeneous technology environment.
Analyze end-customer automation requirements for systems integration, data sources, data structures, and data types.
Create data-driven systems in a cloud-enabled environment.
Work with artificial intelligence and machine learning services, including integrating services and application programming interfaces, to create new solutions in Amazon Web Services and Microsoft Azure cloud environments.
Develop, implement, and maintain the information data warehouse and use insight platforms to enable decision-support systems for the organization.
Design modeling applications to support risk measurement, financial valuation, decision-making, and business performance.
Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.
Job Description
Business Intelligence / Data Engineer
Analyzing complex data structures in various data sources in heterogeneous technology environment.
Analyze end customer automation requirements of systems integration, data sources, data structures, data types.
As a Business Intelligence / Data Engineer you will be responsible to create data-driven system based cloud enabled environment
Work with AI/ML services including integration of services and APIs to create new solutions in AWS/Azure cloud environment
You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization.
Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.
Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.
Qualifications
Candidate must have at the minimum, a Bachelor or higher degree or its equivalent in Computer Science or any engineering in related fields
Minimum 3 years of experience in data engineering, data wearehouse, reports
Experience with Data modeling, SQL, ETL , Data Warehousing and Datalakes
Experience in data analysis and engineering, ETL and analytics, reports and experience in building real-time data products
Experience in writing SQL scripts, functions, stored procedures, expertise in an enterprise RDBMS
Experience with enterprise-class Business Intelligence tools such as Microstrategy, Tableau, Penthao, etc.
Experience with scripting language such as Python, Perl, R or Javascript
Strong knowledge of AWS products and services
Additional Information
All your information will be kept confidential according to EEO guidelines.