Data Architect
7 days ago
**Key Responsibities**
- Delivering Business Intelligence & Data Analytics solutions for our customers.
- Performing data analysis on analytical requirements and recommending solutions.
- Work with both functional and technical project personnel, providing in-depth knowledge of BI
information delivery/presentation methodology.
- Strong ability to extract and document requirements from end users, including leading requirements
gathering workshops
- Develop and enforce a data analytics strategy and architecture including System Design, processes
and tools.
- Architecting BI and data lake / data warehouse solutions on at least five full life cycle large projects of
high complexity.
- Extensive experience with advanced development concepts: data modeling, data warehouse/ data
lake architecture, performance tuning.
- Working with onshore/offshore resources to execute client projects
**Required skills and qualifications**
- 10+years’ experience with Business Intelligence and Data warehousing.
- Hands on skills in project management, architecture, development and Design for data analytics
- Good understanding of architecture and design for large scale data warehousing/data lake
solutions.
- Experience in technical lead position in abased data warehouse engagement: Team co-ordination /
Technical design / Development / Testing / User Training / Deployment
- Very good knowledge of Data Warehousing concepts and Metadata modeling techniques(star
schemas in business situations
- Demonstrated experience with translating business requirements into data analysis and reporting
solutions
- Excellent analytical and problem solving skills
model.
- Strong SQL or Spark development skills is required.
- Experience in data analysis and data testing.
- Experience with ETL tools such as Oracle warehouse builder or Informatica.
- Focus on Data Quality issues / problems. (completeness, conformity, consistency, accuracy,
duplicates, integrity)
- Excellent presentation, verbal and written communication skills, with the ability to interact with all
levels of management.
DataArchitect
DataWarehouse
DataLake
Spark
Python
L1-NV
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