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Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : PySpark
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems, contributing to the overall efficiency and effectiveness of data management within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall team performance. - Analyze and optimize existing data processes to improve efficiency and reduce operational costs. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data modeling and database design principles. - Experience with data warehousing solutions and big data technologies. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Knowledge of data governance and data quality frameworks. Additional Information: - The candidate should have minimum 12 years of experience in PySpark. - This position is based at our Bengaluru office. - A 15 years full time education is required.
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