On-site
Part Time
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 : Google BigQuery
Good to have skills : Google Cloud Data Services, Microsoft SQL Server
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will engage in the design, development, and maintenance of 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are robust, scalable, and aligned with business objectives. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with stakeholders to gather and analyze data requirements. - Design and implement data models that support business needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Good To Have Skills: Experience with Microsoft SQL Server, Google Cloud Data Services. - Strong understanding of data warehousing concepts and architecture. - Experience with data integration tools and ETL processes. - Familiarity with data governance and data quality best practices. Additional Information: - The candidate should have minimum 3 years of experience in Google BigQuery. - This position is based at our Pune office. - A 15 years full time education is required.
Accenture
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