Senior Data Engineer, Data Platform

October 31

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Tronic

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loyalty programs

11 - 50

Description

• Tronic is at the forefront of transforming how enterprises connect with their customers. • We specialize in advanced brand loyalty and customer engagement solutions, leveraging data-driven insights to build meaningful, lasting customer relationships. • You will oversee the data architecture, data pipeline performance, and scalability of our customer data platform. • Design, deploy, and manage OLAP databases at scale for high-performance analytics. • Implement and optimize event streaming pipelines using Kafka to process and manage real-time data streams. • Ensure data governance and schema management practices are followed to maintain data quality, security, and compliance. • Automate infrastructure and data pipeline deployments using Terraform, AWS CloudFormation, or Ansible. • Support and optimize SQL and NoSQL databases to meet high-volume, high-velocity data processing needs.

Requirements

• Proven experience designing and managing OLAP databases at scale, with a deep understanding of their performance and query optimization. • Expertise in managing and scaling event streaming pipelines with Kafka or similar tools. • Experience deploying and optimizing Elasticsearch for search and analytics across large data volumes. • Solid understanding of data governance and schema management, with experience implementing data security, privacy, and compliance frameworks (e.g., GDPR, CCPA). • Hands-on experience managing data lake architectures using AWS technologies like Amazon S3, AWS Glue, and Lambda, and implementing scalable, performant ETL pipelines. • Strong knowledge of SQL and NoSQL databases and how to optimize them for high-throughput and low-latency operations. • Familiarity with Terraform, Ansible, Docker, and Kubernetes for managing and automating cloud infrastructure. • Experience with cloud platforms (AWS preferred) and managing infrastructure as code. • Ability to collaborate with cross-functional teams, including engineering, product, and data science teams, to ensure the smooth operation of the data platform. • Strong problem-solving skills and the ability to think strategically about long-term data architecture and governance. • Passion for data analytics, with an understanding of how to build scalable systems that support high-volume customer analytics and insights.

Benefits

• Competitive salary and equity options, ensuring you're rewarded for your contributions to our success. • Remote work opportunities with flexible hours to maintain a healthy work-life balance. • Comprehensive health, dental, and vision insurance. • Generous and flexible time off policies. • A team-first culture where your ideas and expertise are valued, and you can make a direct impact on the future of our platform.