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Data Warehouse Engineer
7 days ago
Job Description :
At the intersection of science and technology, Clovertex is a Life Sciences systems integrator specializing in architecting, building, automating, and managing scientific applications, databases, data warehouse, data lakes, and workflowsusing cloud computing is an AWS Advanced Tier Partner. Our team has deep scientific domain experience and specializes in providing both IT and science-related services.
To know more about us : CLOUDVERTEX.COM
Job Role : Data Warehouse Engineer
Location : Hyderabad
We are seeking a highly motivated and experienced Datawarehouse Engineer to join our team and play a key role in Building, Managing and Optimizing our mission-critical Enterprise Datawarehouse. You will be responsible for designing, developing, implementing, and supporting complex Enterprise Data Warehouse build on multiple ERP application such as Oracle E-Business Suite (Finance, Supply Chain, HR), Salesforce. etc. This role requires hands-on expertise in all aspects of Data Warehousing, with a strong focus on ETL and Reporting.
Skills :
5-8 years of experience as an Data Warehouse Engineer.
Proven experience in building designing, implementing, and managing Enterprise Data Warehouse.
Extensive experience with Oracle Data Integrator (ODI).
Strong Experience in Neotix and EBS.
Strong Experience of database migration best practices and tools.
Strong Experience in Oracle SQL and PL/SQL.
Experience with scripting languages like Python or Bash is a plus.
Experience with cloud-based environments (e.g., AWS).
Strong Knowledge of Oracle ERP modules and underlying database tables for (Finance, Supply chain, HR)
Expensive experience in Data Extraction from Oracle ERP and underlying data model.
Excellent communication, interpersonal, and problem-solving skills.
Ability to work independently and as part of a team.
Strong commitment to quality and continuous improvement.
Knowledge of PostgreSQL, MySQL and automation (Shell Scripting, Ansible, Python) will be an added :
Design, Develop, Enhance, Manage and Optimize existing Data Warehouse.
Provide leadership and technical expertise to enable effective Business Intelligence and Data Warehouse (BI/DW) strategies and goals in a global implementation of BI.
Provide leadership for the architectural direction and provide consultation to agile teams.
Work together with various business units (BI, Product, Reporting) to develop data warehouse platform vision, strategy, and roadmap
Design ETL architecture and approach.
Develop reports using BI Tools
Follow various ETL Processes to prepare design for all metadata
Analyze and troubleshoot and fix erroneous results, determines the root causes, logs the defects and provide solutions.
Build ETL - Extract Data from new Data Sources such as Oracle ERP, Data Files and Integrate with Warehouse
New Build or Enhance Data Marts for specific business applications.
Design, Build and Extend Warehouse Data Model
Perform ongoing performance monitoring, optimization, and troubleshooting of Warehouse.
Stay up-to-date with the latest Data Warehouse and Analytics technologies and trends.
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