Data Engineer

Who we are:
Quantic is an Information Technology service and product company based in Jakarta, Indonesia and Mumbai, India, founded in 2017. We provide ready-to- use AI based solutions for some of the most common business use cases. We also have a portfolio of world-class products in Wealth Management, Lending & Collections as well as Digital Banking that we implement for your organization.

Our Team:
Our team has been in the forefront of technology and dealing with large mission- critical software projects for leading global organizations. Our consulting services bring to the table solid research in Data Science as well as in AI and Machine Learning techniques.

Our Value:
We are process-oriented, we follow global best-practices to ensure delivery. We value the robustness of software, and rigorous software engineering.

Our Goals:
If your organization is new to data-backed decision support analytics, then we will hold your hand and introduce you to this exciting journey. Our consultants will study your business and advise how you can benefit easily at low cost. We will launch a low-risk pilot project to show quick benefits to your stakeholders and build the organization’s confidence in developing an AI based analytics system for long-term value. We will completely align with your business goals, your processes and policies, and work as an extension of your own team.
This is a contract role for a Data Warehouse Engineer at for our client in Banking Industry, Jakarta Metropolitan Area location. The Data Warehouse Engineer will be responsible for developing and maintaining the data warehouse and ETL processes. The candidate will be required to work on-site with the team and provide technical guidance to other data engineers.

Qualifications:
Data Modeling, Data Warehousing (End to end) and Databases skills

Experience in creating and maintaining Extract Transform Load (ETL) processes

Analytical Skills

Experience with ETL tools such as SSIS or Talend

Experience with BI technologies such as Tableau, Power BI, or QlikView

Expertise in SQL and hands-on experience with relational databases

Bachelors degree in Computer Science, Computer Engineering, Statistics, or related field

Experience using Google BigQuery

Experience working in the finance or banking industry is a plus