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 : Snowflake Data Warehouse
Good to have skills : Amazon Web Services (AWS)
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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Must have(s): Snowflake DBT Nice to Have: AWS 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 pipelines for improved performance and efficiency. - Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse. - Good To Have Skills: Experience with Amazon Web Services (AWS). - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with SQL and data querying languages. Additional Information: - The candidate should have minimum 3 years of experience in Snowflake Data Warehouse. - This position is based at our Bengaluru office. - A 15 years full time education is required.
Bengaluru
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