Senior BI Engineer
About The Position
We are looking for a qualified Senior Business Intelligence Engineer with at least 5 years of experience in development and implementation of BI solutions and turning data into insightful knowledge. The ideal applicant will have a solid experience in business and data analysis, as well as good communication and analytical abilities. Strong problem-solving skills and an understanding of Telcom business are preferred. You will be essential to improving our business intelligence system to support wise decision-making. Join us in leveraging the power of data-driven insights to further our mission of better results and strategic growth.
Requirements
• UG: B.Tech/B.E. in Any Specialization, BCA in Any Specialization.
• Proficiency in database skills including SQL, data modelling, and databases (e.g.) MS SQL Server, MySQL, Oracle, Vertica, MongoDB.
• Knowledge of Big Data/Cloud.
• Familiarity with CI/CD tools and practices for infrastructure automation (e.g., Jenkins, GitLab CI/CD).
• Good knowledge on Power BI, Tableau or similar BI tool along-with hands on.
• Having good hands-on on Python is good.
• Experience working in Agile development environments
• Proven experience as a BI Developer, preferably with a focus on Telecom domain and data-driven applications.
• Strong proficiency in SQL with experience in writing complex queries for data analysis and manipulation.
• Good understanding of scripting language and schema: JavaScript, JSON
• Familiarity with containerization and orchestration tools such as Kubernetes.
• Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Self-motivated individual with a passion for learning and adapting to new technologies and methodologies.
• Ability to work effectively in a collaborative, cross-functional team environment, with excellent communication and interpersonal skills.
• Experience working in an agile development environment, with a focus on iterative development and continuous improvement.
Responsibilities
• Collaborate closely with Product Managers (PMs), Architects, and stakeholders across different departments and geographical locations to understand project requirements and deliver high-quality solutions.
• Work as a part of the analytics team to design, develop, test, and maintain analytics applications that drive business insights and decision-making.
• Utilize strong analytical skills to interpret data, identify trends, and implement solutions that enhance the performance and functionality of analytics applications.
• Write efficient SQL queries for data extraction, transformation, and loading (ETL) processes, ensuring data accuracy and integrity.
• Deploy and manage applications using Kubernetes for container orchestration, ensuring high availability and scalability.
• Embrace agile methodologies and participate actively in sprint planning, stand-up meetings, and retrospective sessions to continuously improve team processes and productivity.
• Stay updated on emerging technologies, industry trends, and best practices in software development and analytics, and apply them to enhance our products and workflows.
• Demonstrate a strong commitment to teamwork, collaboration, and knowledge sharing to foster a positive and inclusive work culture.