Data Engineer

# Data Engineer ## Job Summary The Data Engineer will serve as a critical resource in implementing operational analytics solutions across various domains, such as networks, applications, and security workflows. This position contributes to customer satisfaction by ensuring successful integration, deployment, and adoption of company’s capabilities. ## Responsibilities - Act as a **technical expert** on operational analytics solutions for networks, applications, and security workflows. - Take a **hands-on role** in the integration of products to meet customer requirements. - Deploy solutions at customer sites, ensuring a thorough understanding of their **data, workflow, and analytics** needs. - Enable customers for effective use and understanding of capabilities, promoting self-service extensions. - Collaborate with the **sales team** and partners during pre-sales activities. - Own the design, development, and execution plans for **proof of concepts (POC)** and lead projects to successful deployment. - Propose enhancements to product features and quality based on **customer reviews**. ## Qualifications - **Bachelor’s degree** or higher in a relevant field. - Proficiency in coding with **Python**, **Ansible**, and **Terraform**. - Experienced in **database technologies**. - Minimum of **3 years** of relevant hands-on coding experience. - Familiarity with public cloud platforms such as **Amazon Web Services (AWS)**, **Google Cloud Platform (GCP)**, and **Microsoft Azure**. - Hands-on experience with **Docker**, **Kubernetes**, **AWS CloudFormation Templates**, and **YAML**. - Proficient in designing **SQL queries** to extract, validate, and analyze data using **Jupyter Notebook**. - Strong communication and comprehension skills, both verbal and written. - Familiarity with **data analytics** concepts. ##