Data Operations Engineer

Key Skills

Apache Flink, Apache Hadoop, Apache Kafka, Data science techniques, Data security, Database, DevOps, Effective communication skills, HIPAA, NoSQL, PowerBI, Python Programming, R Programming, Scrum Agile Methodology, SPARK Programming, SQL, Tableau

Job Description

• Manage and maintain the day-to-day operations of our data infrastructure, including data ingestion, processing, storage, and retrieval systems.
• Collaborate with cross-functional teams to understand data requirements, design efficient data workflows, and ensure data quality and integrity.
• Implement and maintain monitoring and alerting systems to proactively identify and resolve data-related issues, ensuring the smooth functioning of data pipelines and services.
• Conduct performance tuning and optimization of data systems, identifying bottlenecks and implementing necessary improvements.
• Define and implement backup, disaster recovery, and business continuity strategies for our data systems.
• Automate data operations processes to improve efficiency, reliability, and scalability, utilizing appropriate tools and frameworks.
• Implement and maintain data security measures and compliance standards to protect sensitive data and ensure regulatory requirements are met.
• Collaborate with data scientists, analysts, and engineers to address their data needs and provide technical support for data-related inquiries and requests.
• Research and evaluate emerging technologies and industry best practices in data operations to drive innovation and improve the overall data infrastructure.
• Participate in incident response and troubleshooting efforts, investigating and resolving data-related issues and outages in a timely manner.
• Develop and maintain documentation, standard operating procedures, and best practices for data operations and infrastructure management.

Required Qualifications

• 3+ years of experience in data operations, database administration, or a related role.
• Strong knowledge and experience with data technologies such as data ingestion tools, data processing frameworks, databases (relational and NoSQL), and data storage systems.
• Proficiency in at least one programming language (Python, SQL or similar) for scripting and automation.
• Experience with data orchestration tools and workflow management systems.
• Solid understanding of data monitoring, alerting, and logging systems.
• Familiarity with data security best practices and compliance standards (e.g., GDPR, HIPAA).
• Excellent problem-solving and troubleshooting skills, with a strong attention to detail.
• Strong communication and collaboration skills to work effectively with cross-functional teams.

Preferred Qualifications

• Knowledge of big data frameworks and tools (e.g., Kafka, Hadoop, Spark) and distributed computing principles.
• Familiarity with data governance frameworks and data cataloging tools.
• Experience with stream processing frameworks (e.g., Kafka, Apache Flink).
• Knowledge of data visualization tools (e.g., Tableau, Power BI) and data exploration techniques.
• Understanding of DevOps and Agile/Scrum methodologies and experience working in these environments.

What You Will Get

• An inspiring and family-focused culture with offices around the world 
• A competitive compensation package
• Comprehensive health and dental benefits including life and disability insurance
• An unlimited vacation policy
• Generous parental leave benefits with a top-up plan
• Time with our executive coach and Chief Empowerment Officer to assist in your growth and professional development
• Participation in our Employee Recognition Awards program
• An annual education and learning stipend
• Corporate rates and perks including fitness membership discounts
• We live and promote our company's values: Act with integrity​, Never settle​, Design to disrupt​, Customer-Driven​, Family-focused

If you are a motivated and proactive individual with a strong passion for data operations and enjoy working in a collaborative environment, we encourage you to apply for this exciting opportunity. Join our team and contribute to the success of our data-driven initiatives while shaping the future of our data infrastructure.