Senior Data Engineer

Posted 3 Days Ago
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DKI Jakarta, IDN
In-Office
Senior level
Big Data • Software • Analytics • Automation
The Role
Design, build, and monitor robust, scalable ETL/streaming data pipelines and data warehouses. Integrate diverse data sources, manage SLAs, and enable analytics and ML teams by ensuring timely, reliable data access.
Summary Generated by Built In
Company Description

About Bonza
Bonza is a no-code AI platform that aims to remove friction and barriers organizations face when creating and implementing data-driven solutions.

Now, as our business grows, we are looking for great talent to join our team!

Job Description

The Role:

The data engineer at Bonza will be responsible for handling the data warehouses for our clients. You will be our enabler of all the possibilities for our data analytics, machine learning or AI solutions. If you love to play with big data, and want to use all of that data to be a meaningful insight of decision, then this role is for you!

Our data engineer will work with data strategist, data analyst and data scientist to extract the information from any (yes, any) data, and ensure every data, insight and decision is delivered in timely manner

Your Mission:

Your mission, should you accept it, is to build a robust and scalable data pipeline that orchestrates every data into a single data warehouse. You will be exposed to various data sources, be it backend databases, third party applications or data warehouses systems either cloud or on premises. You will also handle both batch and realtime data, and tackle the problem with different tools as we see fits. You will also manage the SLA of our pipeline, and make sure our analysts and scientists are able to access the data and are able to extract insight with ease.
 

What could your day to day look like? 

  • Understanding what is the raw data looks like
  • Design a scalable system to orchestrate all these data
  • Build and monitor robust and scalable data pipelines and database systems
  • Working with Product, Engineering and Design teams to drive Bonza’s data engineering product roadmap
  • Research and exploring different technologies to develop a more scalable and efficient system

Qualifications

What we are looking for: 

  • Engineering background (Science, Technology, Engineering, and Mathematics background preferred)
  • At least 3+ years experience in data warehousing system
  • Proficiency in scripting languages (preferably Python)
  • Proficiency in writing SQL statements
  • Experience in apache spark is a plus
  • Familiar with streaming pipeline (kafka / apache beam) is a plus
  • Familiar with workflow scheduler (azkabar / airflow) is a plus
  • Familiar with cloud, either Google Cloud, Amazon Web Services, or Azure is a plus

Additional Information

We are conducting virtual interviews to keep our candidate and employees safe.

What’s on offer: 

  • To be part of Indonesia’s fastest growing data analytics company
  • A great work culture, with coaching, massive ownership and growth opportunities
  • Passionate and innovative work culture
  • Attractive remuneration package and insurance coverage

Skills Required

  • Engineering background (STEM)
  • At least 3+ years experience in data warehousing systems
  • Proficiency in scripting languages
  • Proficiency in Python
  • Proficiency writing SQL statements
  • Experience in Apache Spark
  • Familiarity with streaming pipelines (Kafka / Apache Beam)
  • Familiarity with workflow schedulers (Azkaban / Airflow)
  • Familiarity with cloud platforms (Google Cloud, AWS, or Azure)
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The Company
20 Employees
Year Founded: 2020

What We Do

Bonza is a low-to-no-code collaborative data engineering and analytics platform with offices in Jakarta and Singapore. It builds tools that help organizations automate data workflows, combine disparate data into a single source of truth, generate intelligent insights, and operationalize analytics for large-scale, data-driven decisions. Bonza also created Indonesia’s first dashboard tracking the spread of COVID-19 in the country.

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