Senior/Staff Data Engineer

Coda breaks down barriers between publishers and audiences, trusted by 300+ digital content publishers to grow revenue and customer engagement in 60+ markets.
Bangkok, Thailand
Data
Staff Software Engineer
Hybrid
5+ years of experience
Gaming · Enterprise SaaS

Description For Senior/Staff Data Engineer

Coda is a dynamic company that serves as a bridge between publishers and their audiences, particularly in the digital content and gaming space. Working with industry giants like Activision Blizzard, Electronic Arts, and Zynga, Coda specializes in payment solutions and e-commerce systems that enhance revenue and user engagement across 60+ markets.

As a Senior/Staff Data Engineer, you'll be at the forefront of building and maintaining high-performance data systems that power the organization's insights. The role involves developing sophisticated ETL/ELT pipelines, designing data flows for real-time analytics and ML workloads, and working closely with data scientists to productionize machine learning algorithms.

The technology stack is built on AWS cloud infrastructure, utilizing modern tools and frameworks including Quarkus, JSON, GRPC, and various data storage solutions. The team values both collaborative work and individual autonomy, promoting a culture of servant leadership that empowers engineers to take ownership of features.

This position offers an exciting opportunity to work in a fast-paced, global environment with team members across 30+ countries. The company provides comprehensive benefits including hybrid work support, wellness resources, professional development opportunities, and flexible benefits. If you're passionate about data engineering, have strong technical skills, and want to make an impact in the digital content and gaming industry, this role offers an excellent opportunity for growth and innovation.

Last updated a month ago

Responsibilities For Senior/Staff Data Engineer

  • Building and maintaining high-performance data systems for organizational insights
  • Developing ETL/ELT pipelines for batch and streaming data
  • Designing data flow for real-time, analytics and ML workloads
  • Designing architectures for data acquisition
  • Improving data pipeline performance
  • Preparing data for predictive and prescriptive modelling
  • Working with data scientists to productionize machine learning algorithms
  • Working with data analysts to automate and optimize reporting and BI infrastructure
  • Improving and maintaining data quality
  • Communicating effectively with stakeholders

Requirements For Senior/Staff Data Engineer

Java
Kotlin
Python
Kafka
  • At least 5+ years of relevant experience in software development and data engineering
  • Experience in working with large datasets in both batch and real-time
  • Good understanding of data structures, data architecture techniques and data warehousing
  • Knowledge and practical experience in back end programming languages
  • Experienced in designing complex DAGs in Airflow or similar technology
  • Experienced in working with world-class data platforms
  • Good understanding of Machine Learning concepts and productionizing ML models
  • Experienced in working with data streaming tools such as Spark Streaming and Kafka
  • Experienced in developing scalable data warehouse in accordance with data protection regulations
  • Experienced with AWS or GCP

Benefits For Senior/Staff Data Engineer

Medical Insurance
Mental Health Assistance
Parental Leave
  • Work from home/hybrid monthly allowance
  • Wellness resources for physical and mental well-being
  • Flexible benefits plan
  • Clear progression paths
  • Training resources for personal and professional growth
  • Paid volunteer time off
  • Paid family care leave
  • Employee Assistance Program

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