Datawarehouse Engineer

Job Description

DWH ENGINEER - JD===We are also looking for asimilar candidate in India. So, please send mequickly some more solid resumes for India as well as San Jose.===We are looking for a Data Warehouse Engineer Contractor who is experienced and is a hands-on Data Warehouse developer,preferably onsite in San Jose. We can consider offshore candidates if he / she is really deserving.This position requires research, analysis, design, and development of solutions per our business requirements. He / she will prepare design documents, develop ETL logic and validation scripts to ensure 100% data accuracy, design security control, and deploy and monitor solutions in production. The candidate must have 10+ Years in DW/BI space in both designing the model and building analytics. At least executed two end-to-end implementations and worked for min. 2 year in Azure SQL and ADF and for 3+ year in building Tableau model/reports/dashboardsI am attaching the JD with details of the Data Warehouse Engineer Subcon we are looking for. Please share the profiles for candidates who meet the JD, ASAP.Good understanding of the RDBMS concepts, knowledge, and hands on experience in SQL (MS SQL / Oracle etc.) is mandatory.===Data Warehouse Engineer Cadence is looking for a hardworking, highly motivated Data warehouse engineer. This high-performing individual should have collaboration skills, ability to work across multiple domains and software disciplines to achieve results. This is an experienced and hands-on Data Warehouse developer position that requires research, analysis, design, and development of solutions per our business requirements.You will build Cadence enterprise data platform to support data-driven culture. You will work closely with business users, collect business requirements, prepare design documents, develop ETL logic and validation scripts to ensure 100% data accuracy, design security control, and deploy and monitor solutions in production.Role: Data Warehouse EngineerLocation: San Jose, Austin, CaryMust Haves:
• 10+ Years in DW/BI space in both designing the model and building analytics. At least executed two end-to-end implementations. At least worked for min. 2 year in Azure SQL and ADF and for 3+ year in building Tableau model/reports/dashboards
• Experience in developing and optimizing stored procedures and functions using T-SQL for data migration and transformation
• Master in Azure SQL stack architecture (SQL Server, SQL Warehouse and Azure Data factory)
• Technical knowledge of python, Pentaho, or shell scripting is required
Responsibilities:
• Manage all warehouse data, design architecture, and prepare appropriate documents to develop schema data model.
• Coordinate with business users and prepare documents to plan and control various volumes of data.
• Maintain data warehouse systems and provide production support.
• Evaluate all data and perform various tests on data warehouse and ensure effective implementation.
• Administer all data and ensure compliance with standards and policies. Maintain high quality of all deliverables and provide efficient guidance to all database architecture.
• Self-motivated, passionate for technology, and strong driver for results and continual improvement.
Qualifications:
• Solid knowledge of data warehouse systems (star schema, snowflake schema, dimensions, measures, slowly changing dimensions, etc. is a must).
• Administration experience of Tableau server is mandatory
• Technical knowledge of python, Pentaho, or shell scripting is required
• Ability to interact with business users to understand business requirements, document them, and provide an optimal solution.
• Past experience in leading a technical team is desired.
• Knowledge of other analytics platforms like Epiphany, SAP BW, etc. is a plus.
• Functional knowledge of common business processes like quote to cash, procure to pay, hire to retire, clickstream analysis, revenue, booking, billing, etc. is desirable.
• Production support experience in investigating errors/exceptions and resolving the errors at the root level.
• Extremely good verbal and written communication skills.
Education: Bachelors degree in computer science, a related field or equivalent experience.

Keyskills :
data warehousingsnow flake