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Data Architect
Eingestellt von E-Frontiers
Gesuchte Skills: Design, Sql, Oracle
Projektbeschreibung
- Minimum of five years of leadership experience in data design and administration, architecture, and reporting
- Experience with Data Analysis and Data Profiling
- HANDS ON EXPERIENCE INDEXING, PARTITIONING AND DATA DESIGN PERFORMANCE CONSIDERATIONS FOR INDUSTRY STANDARD DBMS (ORACLE AND/OR SQL SERVER)
- Understanding of data warehousing design and development best practices
- Understanding of ETL design and development best practices
- STRONG DATAMODELLING SKILLS, INCLUDING A DEEP UNDERSTANDING OF RELATIONAL AND MULTI-DIMENSIONAL DATABASE DESIGNS AND THE NORMALIZATION LEVELS OF OPERATIONAL DATA STORES AND DATA MARTS
Additionally, this is how we weigh the candidate against the requirements.
Data Architecture
60%
BIG DATA, DATA MODELING (OLTP, OLAP), DISTRIBUTED DATA STORAGE, SYNCHRONISATION, DWH, DATA MART, BI/REPORTS, COMPLEX EVENT PROCESSING, DATA STAGING, MAP REDUCE, DEPLOYMENT IN CLOUD, NON-FUNCTIONAL REQUIREMENTS, DATA QUALITY ISSUES, KIMBALL, BEST PRACTICES, ENTERPRISE LEVEL UNDERSTANDING OF DATA LAYER, OPEN SOURCE PRODUCTS
Data Technologies
20%
ETL, SQL, SQL Server, Adapter frameworks, Hadoop, No-SQL
Data Tuning
20%
Latency, Partitioning, Lazy Loading, IO, Memory, Query Time
- Experience with Data Analysis and Data Profiling
- HANDS ON EXPERIENCE INDEXING, PARTITIONING AND DATA DESIGN PERFORMANCE CONSIDERATIONS FOR INDUSTRY STANDARD DBMS (ORACLE AND/OR SQL SERVER)
- Understanding of data warehousing design and development best practices
- Understanding of ETL design and development best practices
- STRONG DATAMODELLING SKILLS, INCLUDING A DEEP UNDERSTANDING OF RELATIONAL AND MULTI-DIMENSIONAL DATABASE DESIGNS AND THE NORMALIZATION LEVELS OF OPERATIONAL DATA STORES AND DATA MARTS
Additionally, this is how we weigh the candidate against the requirements.
Data Architecture
60%
BIG DATA, DATA MODELING (OLTP, OLAP), DISTRIBUTED DATA STORAGE, SYNCHRONISATION, DWH, DATA MART, BI/REPORTS, COMPLEX EVENT PROCESSING, DATA STAGING, MAP REDUCE, DEPLOYMENT IN CLOUD, NON-FUNCTIONAL REQUIREMENTS, DATA QUALITY ISSUES, KIMBALL, BEST PRACTICES, ENTERPRISE LEVEL UNDERSTANDING OF DATA LAYER, OPEN SOURCE PRODUCTS
Data Technologies
20%
ETL, SQL, SQL Server, Adapter frameworks, Hadoop, No-SQL
Data Tuning
20%
Latency, Partitioning, Lazy Loading, IO, Memory, Query Time
Projektdetails
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Medien/Design