(Tech) Senior Data Engineer

**About the Company**

Our client is a hyper fast-growing startup built by serial entrepreneurs launched first in Indonesia.
It is backed by top venture capital firms including Sequoia Capital, Credit Saison, Speedinvest, and other prominent investors and founders like Patrick Walujo (Northstar Ventures, early GoJek investor), Sandeep Tandon (FreeCharge), Nipun Mehra (Ula, Sequoia), and Amrish Rao (Pinelabs, Citrus pay).
They also offer a digital solutions to manage accounting, inventory, cash flow and empowers SMEs to take charge and fuel their business growth.
Launched in December 2019, they has raised $60 million in funding and got fast traction where we onboarded 5,000,000+ merchants on its platform in the first 16 months since its launch.
Their second product, enabling micro and home industries to digitize their store and capture more customers is offered as well.
They help customers to build digital brand identity by having its own online store and providing an easy, safe, hassle-free, and enjoyable online shopping experience for customers.
Now they are proud to be chosen by over 6.3+ million users in Indonesia to be their trusted partner in simplifying their cash management and growing their business through the online catalog.
**Responsibilities**:

- Designing, developing, and maintaining our Data Platform (in GCP).
- Responsible for building and maintaining our end-to-end data pipelines from various data sources.
- Help promote data innovation with a willingness to experiment and to handle hard and complex problems.
- Research new data engineering and analytic methodologies with mínimal guidance and support from other team members.
- Review and improve the data platform as a whole, inclusive of data model designs, process flow, and end-use cases.
- Plan and execute data platform expansion as needed to support the company's growth and analytic needs.
- Advocate for data quality and data governance to help ensure all data products provide are in the highest standard.
- Help to mentor junior team members to succeed and grow in the data engineering field.
**Requirements**:

- At least 2+ years of experience in building data pipelines with a robust framework.
- Knowledge of open source and modern data tech stack would be a strong advantage.
- Strong SQL and ETL skills are a must.
- Advanced in at least one programing language python or java.
- Ability to communicate with a technical and non-technical audience.
- Be a team player who thrives in a fast-paced and constantly changing environment.
At least 2+ years of experience in building data pipelines with a robust framework.
Knowledge of open source and modern data tech stack would be a strong advantage.
Strong SQL and ETL skills are a must.
Advanced in at least one programing language python or java.
Ability to communicate with a technical and non-technical audience.
Be a team player who thrives in a fast-paced and constantly changing environment.