Overview
Skills
Job Details
Role :SAP IQ Application DBA
Location: Tampa, FL / Rutherford, NJ / Irving, TX (Onsite)
Duration: Fulltime
Role Description:
3 to 5 years' experience in SAP IQ database technology, expertise in SAP ASE or Microsoft SQL server
are considered as well
Strong communication and customer engagement skills
Team player with ability to work independently
Hands on experience with SAP IQ database
Hands on experience with SAP ASE and Microsoft SQL server are considered as well
Experience in SAP SQL development - Writing stored procedures, functions and triggers
Exposure to database design and building relational/dimensional data models for data warehouse
Experience in SAP IQ database performance tuning
Experience in Unix shell scripting and Python is a must
Knowledge of Python Required
Knowledge of Oracle or other database platforms is a plus
Hands on experience with Oracle, Teradata, Snowflake, MongoDB, ETL Tools and BI tools is a plus
Experience in Hadoop/Hive/HDFS/Impala is a plus
Understanding data management and governance concepts such as data quality, data purging,
metadata management, data lineage, data lakes etc. is a plus
Cloud and Snowflake certifications are plus
Roles & Responsibilities
Builds data models including conceptual, logical, and physical design
Review and Build DDL and DML packages based on application team requirements
Develop and enhance existing framework for data load/unload, export/import, purging, stat gather and
other database monitoring.
Pro-actively monitor database locks, blocks, long running queries and act on issues
Optimize for throughput, concurrency, load and performance with best practices for SQL queries,
caching, indexing strategies and other performance best practices
Work closely with production support and developers to identify trouble queries, analyze query plan and
tune queries for performance issues
Ensure proper process and policies are being followed by enforcing data management and governance.
Work with SA and DBA to ensure latest VTM patches and bug fixes are applied.
Monitor DB and tablespace size and keep database size under control by purging data
Create, build and maintain lower environments (i.e. UAT/QA/DEV) and regularly perform data refresh on
these environment
Involve in architecture, design and development of data warehouse and operational databases
Defining strategic roadmaps for migration of data stores and data-related applications to the cloud
and/or other large data warehouse platforms