Pune, Maharashtra, India
Information Technology
Full-Time
Accenture in India
Overview
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 : Python (Programming Language)
Good to have skills : Google Cloud Platform Architecture, Google BigQuery
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on data solutions and collaborating with teams to optimize data processes. 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. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and maintain data pipelines. - Ensure data quality and integrity. - Implement ETL processes for data migration and deployment. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Good To Have Skills: Experience with Google Cloud Platform Architecture. - Strong understanding of data engineering concepts. - Experience in designing and implementing data solutions. - Knowledge of ETL processes and data migration techniques. Additional Information: - The candidate should have a minimum of 5 years of experience in Python (Programming Language). - This position is based at our Chennai office. - A 15 years full-time education is required.
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 : Python (Programming Language)
Good to have skills : Google Cloud Platform Architecture, Google BigQuery
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on data solutions and collaborating with teams to optimize data processes. 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. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and maintain data pipelines. - Ensure data quality and integrity. - Implement ETL processes for data migration and deployment. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Good To Have Skills: Experience with Google Cloud Platform Architecture. - Strong understanding of data engineering concepts. - Experience in designing and implementing data solutions. - Knowledge of ETL processes and data migration techniques. Additional Information: - The candidate should have a minimum of 5 years of experience in Python (Programming Language). - This position is based at our Chennai office. - A 15 years full-time education is required.
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