Data Engineer
Accenture India Private LimitedJob Description
Data Engineer
Project Role : Data EngineerProject 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 : Snowflake Data Warehouse
Good to have skills : NA
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, contributing to the overall efficiency and reliability of data management within the organization.
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 cross-functional teams to gather requirements and deliver data solutions that meet business needs.
- Monitor and optimize data pipelines for performance and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Good To Have Skills: Experience with data modeling and database design.
- Familiarity with SQL and data querying techniques.
- Understanding of data warehousing concepts and best practices.
- Experience with ETL tools and data integration techniques.
Additional Information:
- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.
- This position is based at our Bhubaneswar office.
- A 15 years full time education is required.
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Accenture India Private LimitedYou can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.
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