Deskripsi pekerjaan
Perusahaan mencari Data Engineer yang terampil dalam pengolahan data, pembuatan pipa data (ETL), serta pemanfaatan layanan cloud untuk membangun solusi data yang berskala optimal. Posisi ini berperan penting dalam mengelola infrastruktur data untuk mendukung kebutuhan operasional dan analitik perusahaan. Tugas dan tanggung jawab meliputi melakukan eksplorasi, pembersihan, imputasi, dan rekayasa fitur (feature engineering) pada data terstruktur maupun tidak terstruktur. Anda akan merancang, mengembangkan, dan memelihara laporan operasional dan analitik, membangun infrastruktur ekstraksi, transformasi, dan pemuatan (ETL) yang optimal, serta mengimplementasikan perbaikan proses internal seperti otomasi proses manual. Peran ini juga bertugas membangun perangkat analitik guna menghasilkan wawasan yang dapat ditindaklanjuti serta mendokumentasikan prosedur sistem.
Tanggung jawab: 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.
Kualifikasi: 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.
Tanggung jawab
- 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
Kualifikasi
- 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
Informasi lowongan
- Tipe pekerjaan
- Full-time
- Pendidikan
- S1
- Gaji
- Rp 10.000.000 – Rp 15.000.000 per month