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
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. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are robust, scalable, and aligned with business objectives. 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 stakeholders to gather and analyze data requirements. - Design and implement data models that support business needs. 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 warehousing concepts. - 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 3 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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