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 :
Data Engineering, Hive,Hbase
Good to have skills :
Snowflake Data Warehouse, Map Reduce,Kafka
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 provide innovative solutions to enhance data accessibility and usability. 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 improve efficiency. - Collaborate with data analysts and other stakeholders to ensure data solutions meet business needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering. - Good To Have Skills: Experience with Snowflake Data Warehouse. - Strong understanding of ETL processes and data pipeline architecture. - Familiarity with data modeling and database design principles. - Experience with programming languages such as Python or SQL for data manipulation. Additional Information: - The candidate should have minimum 3 years of experience in Data Engineering. - This position is based at our Bengaluru office. - A 15 years full time education is required.
15 years full time education
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