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Job Description
Responsibilities
- Design and develop scalable and efficient data pipelines for processing and analysing large volumes of data
- Architect, design, and optimize data platforms for seamless data processing and analysis
- Implement object-oriented design principles and design patterns in the development of data solutions
- Collaborate with cross-functional teams to integrate data solutions seamlessly into the overall architecture
- Work with both SQL and NoSQL databases to design and optimize data storage solutions
- Utilise AWS services to build and deploy scalable and reliable data solutions
- Implement and optimize ETL processes to ensure efficient data extraction, transformation, and loading
- 2-5 years of proven experience in developing and releasing highly scalable enterprise products
- Previous experience in building a data warehouse from scratch
- Strong expertise in object-oriented design, design patterns, and data structure
- Proficient in Java and Python
- Solid understanding of database and data warehouse technologies, both SQL and NoSQL
- Experience with AWS services, including but not limited to EC2 S3 Lambda, and Redshift
- Hands-on experience with ETL platforms/services
- Excellent problem-solving and analytical skills
- Experience developing Micro-services with Spring boot
This job was posted by Pallavi T from Leap Finance.
Skills
Data ExtractionData ProcessingDesigningEtlFinanceSqlTransformationIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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