Senior Data Engineer

Bonza; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading data analytics company in Jakarta is looking for a Data Engineer to manage data warehouses and build scalable data pipelines. This role involves working closely with data strategists, analysts, and scientists to ensure timely data delivery and insights. Candidates should have at least 3 years of experience in data warehousing, proficiency in Python and SQL, and exposure to big data technologies. The company offers a great work culture, attractive remuneration, and opportunities for innovation and growth.

Benefits

Attractive remuneration package

Insurance coverage

Growth opportunities

Innovative work culture

Qualifications

• At least 3+ years experience in data warehousing system.
• Proficiency in scripting languages (preferably Python).
• Proficiency in writing SQL statements.

Responsibilities

• Understand raw data and design scalable systems.
• Build and monitor robust data pipelines and database systems.
• Collaborate with Product, Engineering, and Design teams.

Skills

Data warehousing systems

Python scripting

SQL statements

Apache Spark

Streaming pipeline (Kafka/Apache Beam)

Workflow scheduler (Azkaban/Airflow)

Cloud (Google Cloud, AWS, Azure)

Education

Engineering background (STEM preferred)

Job 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