Work from Office
Full Time
Education and Work Experience Requirements: Overall, 3 to 5 years of experience in IT Industry. Min 2 years of experience working on Data Engineering - Solutions. Develop Python/Pyspark-based automation scripts to optimize workflows and processes. Provide solutioning for web applications and data pipelines. Experience with 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: Python, Pyspark: Hands-on experience in automation and scripting. Azure: Strong knowledge of Azure SQL Database, Data Lakes, Data Warehouses, and cloud architecture. Databricks: Experience in implementation of Python/Pyspark solution in Databricks for implementing Data Pipelines. Fetching data from different source system. DevOps Basics: Familiarity with Azure DevOps, Jenkins for CI/CD pipelines. Communication: Excellent verbal and written communication skills. Fast Learner: Ability to quickly grasp new technologies and adapt to changing requirements. Additional Information: Qualifications - BE, M.Tech or MCA. Certifications: Azure Big Data, Databricks Certified Associate Good to have skills : Design and develop Power BI solutions, ensuring data visualization best practices. Power BI: Expertise in report/dashboard development and DAX calculations.
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