PT INOTAL SISTEMA INTERNASIONAL
Data Engineering
Description
Assembling large, complex sets of data that meet non-functional and functional business requirements
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using ETL and SQL technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
Requirements
- Minimum education: SMK/D3/S1 Data Science, Information Engineering, Information Systems, Fresh Graduate
- Ready Onsite
- Ability to build and optimize data sets, ‘big data’ data pipelines and architectures
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
- Excellent analytic skills associated with working on unstructured datasets
- Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
- Familiarity with RDBMS like PostgreSQL, Oracle
- Familiarity with Big Data Technology like Hadoop, HDFS
- Familiarity with ETL like Informatica ETL
Other Information
Poster
