Senior Data Engineer
South Jakarta, South Jakarta City, Indonesia
Applications have closed
INDICO
INDICO hadir mengakselerasi manfaat inovasi digital yang dapat buka semua kemajuan bagi masyarakat.About us
INDICO is a subsidiary of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios, including Kuncie (edu-tech), Fita (health-tech), and Majamojo (game). Moving forward INDICO aims to explore opportunities in multiple verticals adjacent to Telkomsel’s digital businesses. As a digital platform company, INDICO aims to leverage Telkomsel’s digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia’s digital economy.
INDICO is looking for someone who is interested in taking the opportunity to work with various technical and business teams. As Senior Data Engineer, you are asked to be highly motivated person and able to work in a team, have high integrity, can communicate effectively, able to work in agile way.
What you will do but not limited to:
- Work in collaborative, value-driven teams and customer-first mindset to build innovative platforms.
- Take part in the entire cycle of platform delivery from ideation to deployment and everything in between.
- Use and improve continuous delivery practices to deliver high-quality software that scalable, reusable, reliable, robust and secure
- Efficiently utilize and improve DevSecOps tools and practices to build and deploy software
- Analyze and organize raw data.
- Build data systems and pipelines.
- Evaluate business needs and objectives
- Combine raw information from different sources and data types.
- Explore ways to enhance data quality and reliability.
- Develop analytical tools and programs.
- Collaborate with data scientists and architects on several projects.
Requirements
- Bachelor’s degree in computer science, IT, or related major.
- Min 5 years of experience as data engineer with strong capabilities in development languages like phyton, SQL or others.
- Hands-on experience with database design.
- Ability to deliver high-quality, well-tested, reusable, secure code and follow INDICO CI/CD pipeline.
- Strong in technical expertise with various data sources & types.
- Well experienced in enhance data transformation, quality and reliability.
- Well experience in building data platform based on container software such as Kubernetes and Docker or cloud native software using any of the major CSPs (AWS, GCP or Azure).
- Having Data engineering or Cloud certification is a plus.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure CI/CD Computer Science Data quality Docker Engineering GCP Kubernetes Pipelines SQL
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