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Senior Data Operation Jobs

Company

Elabram Systems
Address Jakarta, Indonesia
Employment type FULL_TIME
Salary
Category Jasa Sumber Daya Manusia
Expires 2023-05-19
Posted at 1 year ago
Job Description
Requirements
  • Experience in managing Database such as Ms SQL, MySQL. Knowledge in other databases will be additional value: PostgreSQL, MongoDB, IBM DB2.
  • Knowledge in ETL / data pipeline applications. Preferably Microsoft SSIS
  • Willing to work on shift 24x7.
  • Bachelor's degree from computer science or related fields, or equivalent software engineering experience
  • Have troubleshooting capabilities, understand system logs, analyse error messages and perform minor changes or hotfixes as workarounds.
  • Have an understanding and experience regarding the reporting dashboard and data warehouse concepts
  • Good at SQL knowledge and experience working with relational databases, query authoring (SQL). Preferably on MS SQL.
  • Experience in monitoring, operation, and development of tools such as ELK Stack, Grafana, Confluence, CDSW, SSIS, SSMS
  • Have the ability to compile and manage SOP Platform.
  • Understanding service management process related to service operation area such as Release, Inventory, Service Request, Event, Incident and Problem Management.
  • Experienced in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Responsibilities
  • Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Perform data exploration, data cleaning, data imputation, and feature engineering on unstructured and structured data
  • Build the infrastructure for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources.
  • Document all test procedures for systems and processes
  • Design, Develop and maintain report used for daily operation, management and analytics
  • Use analytics tools that utilize the data pipeline to provide actionable insights
  • Develop and maintain all data flows and prepare all ETL processes according to business requirements and incorporate all business requirements into all design specifications