ETL architect

Position: ETL architect

Location: Denver CO Day 1 onsite

Need 1215 years exp candidates

Job Description

• Possess minimum 10 12 years of experience in BI/DW development experience onpremises and on Cloud.
• Should have strong knowledge on DW concepts and BI on Cloud; Experience in at least one Large Scale Big Data and Cloud Implementation
• Work with customer in gathering business requirements for data migration needs and structure for AWS Data Lake
• Should have implementation experience in business and IT data requirements through new data strategies and designs across all data platforms (relational dimensional and NoSQL) and data tools (reporting visualization analytics)
• Should have proven experience in defining and governing data modeling and design standards tools best practices and related development for enterprise data models.
• Identify the architecture infrastructure and interfaces to data sources tools supporting automated data loads security concerns analytic models and data visualization.
• Should have knowledge and solutioning experience of AWS Cloud its related services.
• Should have experience in Analytics Cloud design and implementation involving data ingestion (real time or batch) implementation of AWS Data Lake/Data Warehouse/NoSQL database on Cloud metadata management & data catalog and Reporting.
• Have experience in OnsiteOffshore model with various teams responsible Data & Analytics & AI
• Should have Data Quality Implementation experience for large scale BI/Big data Projects (at least 2/3 implementation)
• Awareness and exposure to Data Migration Data Governance Metadata Management Master Data Management will be a big plus.

Possess minimum 10 - 12 years of experience in BI/DW development experience on-premises and on Cloud. Should have strong knowledge on DW concepts and BI on Cloud; Experience in at least one Large Scale Big Data and Cloud Implementation Work with customer in gathering business requirements for data migration needs and structure for AWS Data Lake Should have implementation experience in business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics) Should have proven experience in defining and governing data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Should have knowledge and solutioning experience of AWS Cloud its related services. Should have experience in Analytics Cloud design and implementation involving data ingestion (real time or batch), implementation of AWS Data Lake/Data Warehouse/NoSQL database on Cloud, metadata management & data catalog and Reporting. Have experience in Onsite-Offshore model with various teams responsible Data & Analytics & AI Should have Data Quality Implementation experience for large scale BI/Big data Projects (at least 2/3 implementation) Awareness and exposure to Data Migration, Data Governance, Metadata Management, Master Data Management will be a big plus.