As an integral part of the Data Platform team, onboard various data sources by creating ETL pipelines.
Provide resolutions and/ or Workaround to data pipeline related queries/ issue as appropriate
Ensure that Ingestion pipelines that empower the Data Lake and Data Warehouses are up and running.
Assist the End users of Data Platform with Query debugging and optimisation.
Collaborate with different team in order to understand / resolve data availability and consistency issues.
Be involved in Knowledge Sharing (Knowledge Base Articles, Documentation, Forums, Blogs, etc...)
Exhibit continuous improvement on technical knowledge and problem resolution skills and strive for excellence
2 - 6 years of experience in Technical/ Application Support for ETL applications.
Ability to read and write SQL - and understanding of one of Relational Databases such as MySQL, Oracle, Postgres, SQL Server.
Knowledge of Big data technology and related frameworks. Prior experience on Hadoop, Map-Reduce, Hive, and any NoSQL database like HBase would be an added advantage.
Comfortable with Linux with ability to write small scripts in Bash/Python. Ability to grapple with log files and unix processes.
Prior experience in working on cloud services, preferably AWS.
Ability to learn complex new things quickly
Occasional involvement in support over weekends/ early mornings/ late nights.
Be a team player with an ability to work under pressure with good time management skills
Excellent written and verbal communication skills