Data Engineer
Salary: Rp 10.000.000 – Rp 15.000.000 per month
Job Descriptions:
Perform data exploration, data cleaning, data imputation, and feature engineering on unstructured and structured data.
Design, Develop and maintain report used for daily operation, management and analytics
Build the infrastructure for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources.
Develop and maintain all data flows and prepare all ETL processes according to business requirements and incorporate all business requirements into all design specifications
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Build analytics tools that utilize the data pipeline to provide actionable insights
Explore ways to enhance data quality and reliability Explore ways to enhance data quality and reliability
Document all test procedures for systems and processes
Job Requirements:
Bachelor's degree from computer science or related fields, or equivalent software engineering experience.
Advanced SQL knowledge and experience working with relational databases, query authoring (SQL). Preferably on MS SQL
Advanced Knowledge in reporting service tools. Preferably Microsoft SSRS
Advanced Knowledge in ETL / data pipeline applications. Preferably Microsoft SSIS.
Experienced in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Have an understanding and experience regarding the reporting dashboard and data warehouse concepts
Experienced in object-oriented/object function scripting languages: Python, Java, C#,C++,
Proficiency in source control i.e. Git.
Got 2+ years of experience in Data Engineering role.
Familiar with Azure ETL product like Azure Data Factory, Azure Synapse, Azure Datalake, Azure Devops would be a great addition.