Remote Senior Data Engineer, Data Platform

Description:

• Tronic is transforming how enterprises connect with their customers through advanced brand loyalty and customer engagement solutions.
• The company specializes in leveraging data-driven insights to build meaningful, lasting customer relationships.
• The Senior Data Engineer will manage the data platform and analytics infrastructure, ensuring reliability, performance, and scalability.
• This role supports loyalty and customer engagement solutions for various industries, including retail, hospitality, and consumer goods.
• Responsibilities include overseeing data architecture, data pipeline performance, and scalability of the customer data platform.
• The engineer will design, deploy, and manage OLAP databases at scale for high-performance analytics.
• They will implement and optimize event streaming pipelines using Kafka for real-time data processing.
• The role involves managing and scaling Elasticsearch clusters for efficient data indexing and retrieval.
• Ensuring data governance and schema management practices are followed to maintain data quality and compliance is essential.
• The engineer will develop and maintain data lake architectures using AWS technologies, ensuring efficient data ingestion and retrieval.
• Collaboration with product teams to define data schema and manage schema evolution is required.
• The engineer will monitor key performance metrics and proactively address any issues related to the data platform.
• Automation of infrastructure and data pipeline deployments using tools like Terraform and AWS CloudFormation is expected.
• Implementing backup, disaster recovery, and failover procedures for critical data systems is part of the role.
• The engineer will assist in building data governance frameworks to ensure compliance with privacy regulations.
• Support and optimization of SQL and NoSQL databases to meet high-volume data processing needs is necessary.
• Collaboration with engineering and data science teams is crucial for efficient data flow and integration.

Requirements:

• Proven experience designing and managing OLAP databases at scale, with a deep understanding of performance and query optimization.
• Expertise in managing and scaling event streaming pipelines with Kafka or similar tools is required.
• Experience deploying and optimizing Elasticsearch for search and analytics across large data volumes is essential.
• A solid understanding of data governance and schema management, with experience in implementing data security and compliance frameworks (e.g., GDPR, CCPA) is necessary.
• Hands-on experience managing data lake architectures using AWS technologies like Amazon S3, AWS Glue, and Lambda is required.
• Strong knowledge of SQL and NoSQL databases and how to optimize them for high-throughput and low-latency operations is essential.
• Familiarity with Terraform, Ansible, Docker, and Kubernetes for managing and automating cloud infrastructure is required.
• Experience with cloud platforms, preferably AWS, and managing infrastructure as code is necessary.
• Ability to collaborate with cross-functional teams, including engineering, product, and data science teams, is essential.
• Strong problem-solving skills and strategic thinking about long-term data architecture and governance are required.
• A passion for data analytics and an understanding of building scalable systems for high-volume customer analytics is necessary.

Benefits:

• The opportunity to work on large-scale, complex data platforms that drive business insights for global brands is provided.
• Competitive salary and equity options are offered to reward contributions to the company's success.
• Remote work opportunities with flexible hours are available to maintain a healthy work-life balance.
• Comprehensive health, dental, and vision insurance is included.
• Generous and flexible time off policies are provided to support employee well-being.
• A team-first culture where ideas and expertise are valued, allowing for a direct impact on the future of the platform is fostered.