A leading IT consulting firm in Bengaluru seeks a Data Engineer with expertise in designing Power BI solutions and Python scripting. Ideal candidates should have a solid background in data architecture and cloud platforms like Azure, along with good communication skills. This is an opportunity to work in a collaborative environment focusing on innovative data-driven solutions.
Qualifications
5 to 9 years of experience in IT Industry, with min 6 years in Data Engineering.
Experience in designing and developing Power BI solutions.
Knowledge of cloud architecture and data warehousing.
Responsibilities
Design and develop Power BI solutions.
Develop Python-based automation scripts.
Architect data-driven solutions and platforms.
Skills
Power BI expertise
Python scripting
Azure knowledge
Solution Architecture
DevOps basics
Communication skills
Adaptability to new technologies
Education
BE, MS, M.Tech or MCA
Tools
Jenkins
Job description
Education and Work Experience Requirements
Overall, 5 to 9 years of experience in IT Industry. Min 6 years of experience working on Data Engineering - Solution Architecture.
Design and develop Power BI solutions, ensuring data visualization best practices.
Develop Python-based automation scripts to optimize workflows and processes.
Define architecture for data-driven solutions.
Provide solutioning for web applications and data pipelines.
Architect Cloud or on-prem based Data platforms and Data Warehousing solutions for efficient data storage and processing.
Stay updated with emerging technologies and quickly adapt to new tools and frameworks.
Work with Jenkins for basic DevOps processes, including CI/CD pipelines.
Ensure scalability, security, and performance of deployed solutions.
Collaborate with business teams, data engineers, and developers to align solutions with business goals.
Present technical solutions in a clear and concise manner to both technical and non-technical stakeholders.
Document architectural designs and best practices for future reference.
Mandatory Skills
Power BI: Expertise in report/dashboard development and DAX calculations.
Python: Hands-on experience in automation and scripting.
Azure: Strong knowledge of Data Lakes, Data Warehouses, and cloud architecture.
Solution Architecture: Experience in designing web applications and data engineering solutions.
DevOps Basics: Familiarity with Jenkins and CI/CD pipelines.
Communication: Excellent verbal and written communication skills.
Ability to quickly grasp new technologies and adapt to changing requirements.
Additional Information
Qualifications - BE, MS, M.Tech or MCA.
Certifications: Azure Big Data, Databricks Certified Associate.