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 Cloud Platform Architecture
Good to have skills :Google BigQuery
Minimum
3 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 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 architecture strategy, ensuring that the solutions you develop are scalable and efficient.
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.
- Assist in the optimization of data processing workflows to enhance performance.
- Collaborate with stakeholders to gather requirements and translate them into technical specifications.
Professional & Technical
Skills:
-
Must To Have
Skills:
-
Proficiency in Google Cloud Platform Architecture.
- Good To Have
Skills:
- Experience with Google BigQuery.
- Solid understanding of data modeling and database design principles.
- Experience with data integration tools and ETL processes.
- Familiarity with data governance and data quality frameworks.
Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Qualification 15 years full time education
📌 Data Engineer (Karnataka)
🏢 Accenture
📍 Karnataka
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