Assembling large, complex sets of structured/unstructured data that meet non-functional and functional business requirements.
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.
Candidate Requirements:
Experience of working with SQL databases like postgresql and NoSQL databases like mongodb.
Well versed with database concepts like normalization, ACID properties, Constraints, etc.
Coding skills in the procedural language for at least one database engine is a must (pl/pgsql, PL/SQL, T-SQL etc.)
Basic knowledge of python programming language.
Ability to work in a collaborative environment with other functions like java devs/architects/product management. give best suited solutions from the database side and help implementation.
Knowledge of AWS database services and data pipelines would be plus.
Minimum 2 Years of work experience.
Must have at least 2 years of experience in database development with SQL/PLSQL.
Bachelor’s degree in a technical field such as Computer Science, Mathematics, Physics,
Engineering, Economics, or similar technical field.
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