Data Engineer / Sr. Data Engineer

Job Posted Yesterday Posted Yesterday
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Jakarta, DKI Jakarta
Junior
Fintech • Financial Services
The Role
The Data Engineer will build, test, and maintain robust data pipelines, design optimized database structures, and implement data integration for client-facing projects. The role involves managing large datasets and enhancing performance through new frameworks, ensuring high-quality solutions aligned with client needs.
Summary Generated by Built In

 

Background

Nikel is a financial technology company that enables small business lending in Southeast Asia. We combine deep expertise in alternative lending with best-in-class technology solutions to bridge international capital markets with underserved communities in Southeast Asia. Website: https://nikel.com/

Role

The Company is recruiting for the Data Engineer role to join our Data and Analytics team to help accelerate the Company’s innovation and data-driven strategy.

Designed as a career accelerator to foster the next generation of leading talent, our Company provides the framework to implement technical skills and execute a comprehensive understanding of data management in building financial services technology & analytics. You will work at all data engineer life cycle phases, including

  • Build, test, and maintain a scalable and reliable data pipeline.
  • Design database structure and its performance optimization.
  • Build the data architecture for optimal extraction, transformation, and data loading from various sources.
  • Assemble large & complex data sets to meet business demand.
  • Research new frameworks / tools in the data engineering space to increase performance and capability..
  • Involve in implementation of data integration in client-facing projects.

The ideal candidate will be:

  • Ownership and Initiative: Proven ability to take ownership of projects, demonstrating initiative and responsibility. Reliable, committed to meeting deadlines, and adaptable to changing priorities.
  • Curious and creative: You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find the answers. You are not afraid to share a new idea. You communicate clearly and effectively to share your findings with non-technical audiences.
  • Technical: You have hands-on experience developing data engineering concepts using any tools and modern cloud computing platforms. You are not afraid of petabytes of data.
  • Engineer-minded: Your creation will improve the analytics process, you know how to handle large-scale data. You have experience with data pipelining, data warehousing, and data governance.
  • Customer and product-oriented: Ability to understand and prioritize client’s needs, align projects with customer expectations, and work towards delivering high-quality solutions.


Basic Qualifications

  • Bachelor’s Degree and experience in Data Engineering / Data Warehousing.
  • Experience in open-source programming languages, Python and SQL is a must.
  • Experience with database schema design and data modelling
  • Experience with various databases - Relational, NoSQL, TimeSeries, Graph, Columnar
  • Ability to identify opportunities and act on them, both problem-solving skills and analytical skills.
  • Knowledge of data collection, clean, and transform best practices.
  • Experience in developing batch and real-time data pipelines.


Preferred Qualifications

  • 3+ years of experience in Data Engineering.
  • Experience with cloud computing services, such as GCP (e.g. Bigquery, Cloud Function, PubSub, Dataflow).
  • Experience working with big data frameworks (e.g. Spark, Hadoop).
  • Experience with orchestration tools (e.g. Ariflow).
  • Experience with the streaming framework for CDC (e.g. Debezium) or message queue (e.g. Apache Kafka).
  • Have a fundamental understanding of MLOps principles and ML engineering frameworks.
  • Experience in financial technology services, payment fraud detection systems is a plus.
  • Understanding of network configurations, including open ports, VPN, VPC, and tunneling.
  • Experience in Data Management, including data quality, data governance, data security, etc is a plus.

 

Benefits

  • Challenging role in a startup environment with strong growth ambitions
  • Opportunities for professional growth and development.
  • A dynamic and innovative work environment.
  • Competitive compensation and benefits.

At Nikel, we are committed to diversity and equitable access to employment opportunities based on ability. Interested candidates can send their applications to careers@nikel.com. We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.

Top Skills

Python
SQL
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The Company
HQ: Jakarta, Jakarta
374 Employees
On-site Workplace
Year Founded: 2018

What We Do

Nikel is a fintech improving access to financial services for banks and non-banks. Through technology and advanced analytics, we offer a range of products to our customers in Indonesia, including Customer Acquisition, Credit Card Onboarding and Management, Lending Onboarding and Management, Fraud Detection System, Credit Decision Engine and Risk & Analytics Consulting. Our mission is to drive business growth by providing secure, efficient, and inclusive financial solutions.

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