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 :
Java Enterprise Edition
Good to have skills :
Python (Programming Language), Spring Boot, Apache Spark
Minimum
5
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 organizational needs. 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. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Java Enterprise Edition. - Good To Have Skills: Experience with Spring Boot, Apache Spark, Python (Programming Language). - Strong understanding of data architecture and data modeling principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms and services for data storage and processing. Additional Information: - The candidate should have minimum 5 years of experience in Java Enterprise Edition. - 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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