Data Engineering Director
Singapore
Coda Payments
The biggest companies trust Coda Payments to collect payment for mobile and online games, live streaming, video on demand, music streaming, and more.Currently operating in 60+ countries and processing up to 7 million transactions a day, Coda Payments (https://www.codapayments.com/) 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 - codashop.com.
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!
To ensure Coda’s payment technology is truly available to everyone requires the success of our consumer journeys, publisher partners and internal business units. The Data Engineering team at Coda supports its partners and business units by providing artificial intelligence, machine learning and other data driven solutions using Coda’s rich and complex data sources.
In this role, you will be responsible for developing the overall data engineering strategy and lead a high performance team of data engineers to deliver projects on real time performance monitoring and fraud detection, data observability, self-serve analytics and the Coda data platform, among other high impact projects.
You will report to the Chief Technology Officer at Coda Payments and you will be responsible for managing senior stakeholders in the organization.
Responsibiltiies
- Assure high quality work is delivered by the Data Engineering team, by following best practices of software development and data solution design principles
- Assure data accuracy and quality
- Build a high performance Data Engineering team by motivating,mentoring, and hiring top talent
- Develop an overall Data Engineering strategy aligned with Coda’s business objectives
- Deep understanding of leading and modern technologies to deliver high quality standards on data platform related solutions
- Work closely with the Head of Data to build Coda’s data strategy to support key business initiatives
- Enable self-serve analytics within the different business areas to get meaningful insights
- Partner with engineering, security and compliance teams to ensure overall alignment of data solutions with organization policies and external entities requirements
- Democratize data access among the organization by designing and implementing a data governance strategy following the best practices of the industry
- Assure production monitoring of data services at CodaLead the evolution of Coda to become a data driven organization
- Be on top of leading technologies to enable continuous improvement on data engineering and data management related efforts
- Oversee technical strategy and architecture across data integration, data lake, data warehousing and data access layers
Requirements
- At least 15 years of experience in Data Engineering / Data Architecture
- At least 10 years experience in leading high performance data teams and managing stakeholders at all levels of an organization
- Prior experience in leading cross functional teams
- Strong background in data governance
- Fluency in both written and spoken English
- Complex, high volume, multi-dimensional data, unstructured, structured, and streaming datasets
- Creating large scale data pipelines for data-based decision-making and quantitative analysis
- Programming languages such as Python, Scala, Shell scripting, SQL etc
- Streaming systems like AWS Kinesis, Kafka and Spark-Streaming
- Large scale SQL databases like MySQL, SQL Server, Oracle, Teradata
- NoSQL databases like Hadoop, MongoDB, Cassandra, Elasticsearch, Solr etc
- Data warehouse tools such as Apache Spark, Airflow, Hive, Beam
- Deploying and maintaining tableau server Visualization tools like Grafana, Kibana, AWS Quicksight etc
- Code version control systems such as Git Data structures and data architecture
- Migrating legacy data warehouses to the cloud
- Productionising machine learning models
- Creating/supporting production software/systems and a proven track record of CICD/ Data Architectures/ Pipelines/ Quality /Code Management.
- Data Science including predictive modeling
Proficient in :
Experienced in:
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 https://jobs.lever.co/codapayments - we may have other suitable openings for you.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Cassandra Data governance Data management Data pipelines Data strategy Data warehouse Data Warehousing Distributed Systems E-commerce Elasticsearch Engineering Git Grafana Hadoop Kafka Kibana Kinesis Machine Learning ML models MongoDB MySQL NoSQL Oracle Pipelines Predictive modeling Python QuickSight Scala Security Shell scripting Spark SQL Streaming Tableau Teradata
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Analyst Intern jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs