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<div><div data-qa="vacancy-description"><p data-renderer-start-pos="1">At Coins, we are driven by our vision of a wor...

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Data Engineer [Data team]

Coins.ph Manila, Metro Manila, Philippines

Live

$30k - $70k · Senior Full-time Posted about 4 years ago 3 min read

At Coins, we are driven by our vision of a world where everyone has access to financial services.
Founded in 2014 in the Philippines, Coins customers have access to a mobile wallet and services such as remittances, mobile air-time and bill payments. The company has one of the country’s largest cash distribution networks, operating through over 33,000 partner locations.
We aim to improve people’s everyday lives through convenient, accessible, and approachable financial services. Providing our users with a stellar product and excellent customer experience is at the heart of our business.

We are a fast-growing fintech company looking to work with passionate, motivated professionals in improving our products and accelerating financial inclusion in Southeast Asia. We place great value on open communication, work ownership, and continuous learning on the job.

We are looking for a savvyData Engineer to join our Data team. In this roleyou willbe responsible for building and shipping data-driven applications that drive the existing and new business initiatives. We actively seek individuals who are high in industriousness and orderliness, with an intrinsic interest in data platforms and distributed systems. The ideal candidate has strong programming skills in creating software solutions around data.

WHAT YOU WILL DO

Build and maintain the organization’s data pipeline systems;
Plan, build, deploy, and maintain scalable kappa-architectured machine learning infrastructure;
Monitor and provide transparency into data quality across systems: accuracy, consistency, completeness, etc;
Work on the data platform for BI team that prepares reports for different company departments;
Work closely with data science team on delivering and operationalizing ML-based applications in production;
Build the ETL framework;
Build ML driven and data-science friendly tools ecosystems.

REQUIRED SKILLS AND EXPERIENCE

Advanced programming skills using Java / Scala;
Knowledge of Linux and command line tools;
Understanding of distributed systems in general;
SQL;
Experience in data processing frameworks: Hadoop/Spark/Flink;
Knowledge of different storage engines - ideally relational, non-relational, distributed file systems;
Self-management and communications skills.

GOOD TO HAVE

General programming skills in Python;
Python data-science tools and libraries (Jupyter, scikit-learn, numpy, scipy, pandas etc);
Data analytics;
Multi-threading programming;
Experience building Data Lake / BI platform / DWH;
CI/CD infrastructure;
Managed services on the cloud: AWS, GCP, etc;
Open-source workflow managers: Apache Oozie, Apache Airflow, Luigi, Azkaban, etc;
Docker, Kubernetes.

WHAT WE OFFER

Work with BigData;
Use cutting edge technologies: AWS, Databricks, Metabase, Amplitude and others;
Dive into nonstandard tasks and be immersed in the combination of crypto and non-crypto areas the business which is actively growing, participate in the inhouse end-to-end development of tools and ecosystems;
We value and cherish each team member, because everyone makes a differenceand brings a great value to the business;
Fully remote workwith extended vacation - if desired, it is possible to relocate to the Philippines or Thailand;
Flexible schedule: for BI team it is required to be available in UTC+8 working hours;
Friendly geo distributed team of experienced professionals, who happily joined us after working in well-known IT/product companies and perspective startups;
Customer-driven development: we don't develop features without listening to our customers, each step makes the product more convenient, useful, secure and reliable for our users;
Professional growth: we invest time and money in your career by sponsoring IT conferences, courses and trainings;
Paid medical insurance, coworking rental, technical equipment at choice and business trips to our Manila HQ;
Ever-open offices in Manila and Bangkok, which you can visit at any time.

Ready to apply? You'll go straight to the hiring team.

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