Bumi Amartha Teknologi Mandiri or "AMARTEK" was established to provide information technology solutions. Our mission from the very first day has been to cultivate professional relationships with our clients to provide effective and reliable information technology solutions for their needs. The team at "AMARTEK" is equipped with a highly developed skillset developed over decades of experience not only in information technology but also in business processes across a range of industry sectors. This business experience makes us uniquely positioned to offer solutions promising greater operational efficiency, productivity gains and cost savings for each of our clients, regardless of their industry.
At "AMARTEK", we guarantee rapid, reliable and robust information technology solutions that work.
Design, develop, test, and maintain ETL processes to efficiently extract, transform, and load data from source systems into target data repositories.
Develop and implement efficient data transformation logic using ETL tools and scripting languages.
Optimize ETL workflows for performance, scalability, and reliability to meet data processing SLAs.
Monitor ETL jobs, troubleshoot and resolve issues, and ensure timely and accurate data loading.
Collaborate with cross-functional teams to define data transformation and integration requirements for new projects.
Document ETL processes, data mappings, transformations, and business rules.
Bachelor's degree in Computer Science, Information Technology, or a related field
3-5 years experience as an ETL Developer or similar role.
Microsoft SSIS, MS SQL and Postgre (Database), PL/SQL Stored Procedure are mandatory skill
Experience in delivery using agile approach / scrum is mandatory
Familiar with Azure ETL product like Azure Data Factory, Azure Synapse, Azure Datalake, Azure Devops
Devops for automatic deployment using Jenkins
Understand code base solution, repository management, and branching strategy using Bitbucket
Familiar using JIRA, Confluence
Fluent in English (Speaking and Writing)
Artificial Intelligence (AI) / Machine Learning (ML) skill is preferable