Data Engineer

# Data Engineer ## Company Overview Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines. ## Job Summary The Data Engineer will play a crucial role in enhancing Selector’s operational analytics solution, focusing on networks, applications, and security workflows. This position will involve hands-on integration of the product to meet customer requirements and ensuring that customers can effectively utilize and extend Selector’s capabilities. ## Responsibilities - Serve as a **technical expert** on Selector’s operational analytics solution for networks, applications, and security workflows. - Take a **hands-on role** in integrating the product to meet specific customer requirements. - **Deploy Selector’s solution** at customer sites, understanding their data, workflow, and analytics needs. - Ensure customers are adequately enabled for use, comprehension, and **self-service extensions** of Selector’s capabilities. - Collaborate with sales teams and partners during **pre-sales activities**. - Own the design, development, and execution plans for **Proof of Concept (POC)** projects, leading them to successful deployment. - Propose enhancements and gather customer feedback to **improve product features and quality**. ## Qualifications - **Bachelor’s degree or higher** in a relevant field. - Proficient in coding with **Python**, **Ansible**, and **Terraform**. - Experienced with **database technologies**. - A minimum of **3+ years of relevant hands-on coding experience**. - Familiarity with public cloud platforms such as **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. ## Preferred Skills - Additional experience with **data visualization tools** and frameworks would be advantageous. - Knowledge of **machine learning algorithms** and their application in data engineering would be a plus. ## Experience - A minimum of **3 years** of relevant experience in data engineering or a related field. ## Environment - Specific work setting, location (remote, in-office, hybrid), and environmental conditions have not been specified. ## Salary - Salary information is not provided. ## Growth Opportunities - There are potential career advancement opportunities within the company, though specifics are not provided. ## Benefits - Benefits information is not provided.