Manage daily data ETL (extract, transform, load) function according to agreed SLAs with BUs by providing on time data availability
Troubleshoot and recovering on Daily ETLs and provide root cause analysis and coordinating with source owners and business owners for resolving issues and escalate/liaise with relevant venders/partners for technical support
ETL design and implementation on new source system integrations and make accurate dimensional model by studying end user analysis/report requirements
Maintain data retention on Big data platform as per agreement with business owners
Perform system maintenance time to time VA scans, storage management and security risk management/assessments on all BI systems
Perform R&D on data science methodologies and check the possibilities on match them with company data sets
Preparation and maintenance of audit documents aligned to ISMS (information surety management system) standards for BI Systems
Entry Requirements
The Person
The candidate should possess a degree in Computer Science/Software Engineering/IT/ Mathematics of Statistics from a recognized university or institute
Basic understanding of Machine Learning concepts / Cloud Technologies / Linux Systems & Network Administration will be an added advantage
Minimum of 3 years work experience in a similar capacity
Should possess knowledge in Data modelling / analytics / Database with RDBMS / NoSQL and Big data related technologies (Hadoop, Hive, Impala, Spark, etc)
Having hands on experience with ETL tools / Hadoop with impala, Hive and BI tools / Data warehousing will be an added advantage
Having knowledge on database clustering technologies will also be an added advantage