Data Engineer

Data Engineer

5-8 years
Not Specified

Job Description

What we do

Currently operating in 40+ countries and processing up to 7 million transactions a day, Coda Payments () helps game developers and publishers like Riot Games, Tencent, Garena, EA, Moonton, and other leading digital content providers to monetize their products in places where credit and debit cards aren't widely used. We establish partnerships with a wide range of alternative payment channel operators who make it possible for customers to pay in other ways: paying cash at retail, using a mobile wallet, making a bank transfer, or redeeming a prepaid card.

Coda also allows publishers to accept payments through these various methods on their own website or at our gaming e-commerce site - .

About Coda Technology

At Coda, we operate a high volume payments and e-commerce business, and we're expanding rapidly. We need to build high-scale, distributed systems that can gracefully handle massive spikes in traffic. We also have an ambitious feature roadmap, so using state of the art tools to automate our development lifecycle is crucial to moving fast. We believe in autonomous teams, and we use modern technologies and the latest in cloud infrastructure.

Most importantly, we hire great people and empower them to drive Coda's technology and products forward. We believe that the best ideas can come from everyone, so we encourage taking ownership and maintain a culture of servant leadership that allows engineers to drive features.

Working at Coda

Life at Coda is fast-paced, challenging, and fun. As a rapidly growing global company, we're always looking to step up and adapt to changes quickly there is never a dull day at Coda.

We make things happen in the most impactful and effective manner. If you are always eager to initiate new ideas, hungry to contribute more, derive satisfaction from team wins rather than individual ones, and value integrity, you will fit perfectly into the Coda team!

    • Implement a large scale data warehouse in AWS
    • Implement high-performance data pipelines that can be scaled to process petabytes of data on a daily basis
    • Design, implement and maintain ETL processes
    • Implement Direct Acyclic Graphs (DAGs) in Apache Airflow to programmatically author, schedule and monitor workflows
    • Design and build rest APIs using Python Flask framework
    • Work with data scientists and productionize machine learning algorithms for real-time fraud detection
    • Work with data analysts to automate and optimize reporting and BI infrastructure

    • At least 5 years of experience as a data engineer or a back end developer
    • Proficient in programming in Java and Python
    • Proficient in Apache Spark and Airflow
    • Proficient in writing and optimizing SQL statements
    • Proficient with AWS and/or Cloud Computing
    • Experienced with Data Engineering services like Athena, Redshift, Sagemaker, Kineses etc.
    • Experienced with SQL and NoSQL Databases like DynamoDB, RDS Aurora, MySQL, ElasticSearch, Solr, etc.
    • Experienced with BI tools such as Tableau, AWS Quicksight etc
    • Experienced in using monitoring tools and instrumentation to ensure optimum platform and application performance
    • Experienced in both streaming and batch data processing
    • Knowledge of machine learning concepts will be an advantage
    • Knowledge of Scala will be an advantage
    • Prior experience in working with cross-functional data and tech teams will be an advantage

We are an equal opportunity employer and do not discriminate based on gender, race, age, religion, disability, or other local protected class. We are committed to cultivating an inclusive environment for all employees, and we welcome the diversity that you will bring!

If you are looking for a rapid-growth environment and great teams to work with, you should apply now.

We are sorry to inform you that only shortlisted candidates will be notified as we may be overwhelmed by the number of applicants coming into our system hence if you do not get a reply from us - don't give up on us just yet!

We encourage you also to check out our career site at- we may have other suitable openings for you.

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