(Tech) Senior Data Analytics Engineer

2 weeks ago


Jakarta, Indonesia MatchaTalent Full time

**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**:

- Maintain our data products with timely and quality data.
- Collaborate with internal and external stakeholders to collect business requirements and define successful analytics outcome.
- Design, develop and extend dbt code to extend the Enterprise Dimensional Model.
- Maintain data catalog, provide a scalable resource to support self-service and a single source of truth analytic.
- Advocate data quality and data governance to ensure all data provided are in the highest standard.
- Implements the data ops philosophy in everything you do.
- Research new data and analytic engineering methodologies with menial guidance and support from other team members.
- Able to take end-to-end responsibility on projects of increasing complexity.- Mentors junior engineers via pairing, design review, and code review.
- Review and improve the data system as a whole, inclusive data model designs, process flows, and use cases.

**Requirements**:

- At least 2+ years of experience in data modelling or data analytic or data engineering.
- Strong Competency in SQL, Python, and cloud infrastructure (Preferably GCP), knowledge in DBT.
- Experience in building solid ETL or ELT framework and Multiple data integration projects.
- Expert in data modelling best practice (Dimensional modelling) for large scale data warehousing or OLAP system.
- Able to document plans and results in either issue and releases.
- Strong understanding of data quality and data governance.
- Able to use code version control systems, follow the naming convention and standard code style.
- Expert in multiple data visualization tools.

At least 2+ years of experience in data modelling or data analytic or data engineering. Strong Competency in SQL, Python, and cloud infrastructure (Preferably GCP), knowledge in DBT. Experience in building solid ETL or ELT framework and Multiple data integration projects. Expert in data modelling best practice (Dimensional modelling) for large scale data warehousing or OLAP system. Able to document plans and results in either issue and releases. Strong understanding of data quality and data governance. Able to use code version control systems, follow the naming convention and standard code style. Expert in multiple data visualization tools.


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