Automation NoSQL Data Engineer

• Think through complex data engineering problems in a fast-paced environment and drive solutions to reality
• Work in a dynamic, collaborative environment to build DevOps-centered data solutions using the latest technologies and tools
• Provide engineering-level support for data tools and systems deployed in customer environments
• Respond quickly and professionally to customer emails/requests for assistance

• Bachelor’s degree in Computer Science, Information Systems, or equivalent
• 7+ years of demonstrated experience working in software development teams with a strong focus on NoSQL databases and distributed data systems
• Strong experience in automated deployment, troubleshooting, and fine-tuning technologies such as Apache Cassandra, Clickhouse, MongoDB, Apache Spark, Apache Flink, Apache Airflow, and similar technologies
• Strong knowledge of NoSQL databases such as Apache Cassandra, Clickhouse, and MongoDB, including their installation, configuration, and performance tuning in production environments
• Expertise in deploying and managing real-time data processing pipelines using Apache Spark, Apache Flink, and Apache Airflow
• Experience in deploying and managing Apache Spark and Apache Flink operators on Kubernetes and other containerized environments, ensuring high availability and scalability of data processing jobs
• Hands-on experience in configuring and optimizing Apache Spark and Apache Flink clusters, including fine-tuning resource allocation, fault tolerance, and job execution
• Proficiency in authoring, automating, and optimizing Apache Airflow DAGs for orchestrating complex data workflows across Spark and Flink jobs
• Strong experience with container orchestration platforms (like Kubernetes) to deploy and manage Spark/Flink operators and data pipelines
• Proficiency in creating, managing, and optimizing Airflow DAGs to automate data pipeline workflows, handle retries, task dependencies, and scheduling
• Solid experience in troubleshooting and optimizing performance in distributed data systems
• Expertise in automated deployment and infrastructure management using tools such as Terraform, Chef, Ansible, Kubernetes, or similar technologies
• Experience with CI/CD pipelines using tools like Jenkins, GitLab CI, Bamboo, or similar
• Strong knowledge of scripting languages such as Python, Bash, or Go for automation, provisioning Platform-as-a-Service, and workflow orchestration

Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity, Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion