Database Architect
Summary
9 years 6 months of IT experience in Data Modeling, Data Architecture, Data warehouse, NoSQL and Business Intelligence. Some of the key points which highlight the expertise level attained are as follows :
*Define & deliver Data strategy & develop concept, logical data models, data architecture diagrams including phases level targets. *Extensive experience in optimized database design on OLTP systems.
*Hands-on experience with tuning of SQL queries both in data warehouse (OLAP) and OLTP systems.
*Provide guidance on structure and content around product feature documentation and review for quality.
*In depth experience in e-commerce loyalty domain.
Skills includes :
Programming Languages
o T-SQL, PL/SQL, Python 3.0
Databases
o MS SQL Server 2005 - 2016, PostgreSQL, MongoDB, DynamoDB, Oracle 10 g
BI Tools
o SSIS, SSRS, Data pull
Data Modelling Tools
o Power Designer
Development Tools
o SQL Server BIDS 2005-2016, JMeter
Source Control
o Git, Perforce, TFS, VFS
Cloud Platform
o AWS (RDS, Redshift, EMR, DynamoDB, DMS, Glue)
Technical Certification
o M101P : MongoDB for Developers
o M102 : MongoDB for DBAs
o MCSA 70-461 : (Advanced Querying Microsoft SQL Server 2012)
Expectations
Closely aligned with working on AWS based works in designing architecture for planning on migrations or architect on an existing structure to make it scale.
Additional opportunities could include learning and progressing into Devops or Site Reliability Engineer role.
Work in India
Employment Preferences
Expected Base Salary
*,*00,000 INR
