Job
Description
As a Data Platform Engineer, you will be responsible for ensuring the reliability, scalability, and performance of our data infrastructure. You will play a key role in maintaining systems that support the processing, storage, and retrieval of large data volumes. The ideal candidate will have extensive experience in data engineering and cloud technologies, along with a commitment to continuous improvement, aiming to keep the data platform both reliable and scalable. Your role will involve designing and enforcing best practices to ensure the accuracy, consistency, and reliability of our data. In the area of monitoring and alerting, you will be the driving force behind creating dynamic and responsive mechanisms. This involves designing and implementing data-driven monitoring solutions that provide real-time insights into the health and performance of our data infrastructure. The role demands the capability to work independently while overseeing engineers within the same time zone, the expectation is that you can independently handle the daily tasks associated with your responsibilities while keeping your manager well-informed. What You ll Take On Work with data engineers to build and maintain scalable and reliable data infrastructure. Support the integration of data storage, processing, and retrieval systems. Help improve system reliability by contributing to fault-tolerant designs. Write automation scripts and tools to simplify data operations and infrastructure management. Contribute to enhancing the current data architecture, monitoring, and data availability. Assist in developing data quality processes to ensure accurate and consistent data for stakeholders. Support the maintenance of enterprise-wide data dictionaries. Work effectively within a global team, collaborating across time zones when needed. What You Bring Solid experience with data engineering principles, data processing, and modern storage technologies. Strong programming skills, particularly in Python, and familiarity with scripting (e.g., Bash). Experience building and managing data pipelines on AWS infrastructure. Comfortable working with monitoring and analytics tools like Datadog, Elasticsearch, and Grafana. Experience developing automation and deployment scripts to improve data operations. Understanding of streaming data architecture. Proficiency in managing different types of data storage (relational databases, NoSQL, and data lakes). Skilled at testing and monitoring data for issues, with the ability to troubleshoot and resolve problems. Experience working in a global or cross-functional team environment. Tech Stack AWS Python Presto & Hive SQL Terraform Apache Spark Grafana Airflow Git Nice to Have Experience with Docker Familiarity with CI/CD tools (e.g., Drone, Jenkins, GitHub Actions) Experience with CDPs or DMPs Knowledge of GDPR/CCPA compliance Familiarity with Marketing Technologies Experience working in an agile environment Previous gaming industry experience
