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Job Description
- 5+ years of experience in programming and handling data of various forms and sizes.
- Excellent hands-on experience in SQL.
- Knowledge in Hadoop (Hive, HBase, Spark).
- Good experience working with Python.
- Knowledge in Data Warehousing and Data Mart.
- Data Modeling knowledge.
- Hands on experience on ETL mechanisms.
- Analytical thinking.
- Basic Visualization knowledge.
- Any Cloud Exposure.
- Exposure to AWS Stack.
- Knowledge on distributed system.
- Experience handling overall projects/migrations from scratch.
- Build systems that collect, manage, and convert raw data into usable information.
- Ensure the data is collected and managed to cater clients’ requirements as well as Data science team to build AI models.
- Develop data pipelines from various internal and external sources and build structure for previously unstructured data.
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities.
- Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate.
Skills
Data ArchitectureData ManagementData ModelingData ProcessingData ScienceData WarehousingEtlPythonSqlVisualizationIf 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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