Job Description

Strong experience in Python Programming, MongoDB and MySQL databases, data tools (Kafka, Spark and Hadoop)

Job Description:

1.Assembling large, complex sets of data that meet non-functional and functional business requirements.
2.Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
3.Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
4.Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
5.Develop algorithms to transform data into useful, actionable information.
6.Build, test, and maintain database pipeline architectures.
7.Collaborate with management to understand company objectives.
8.Create new data validation methods and data analysis tools.
9.Ensure compliance with data governance and security policies.
10.Identify opportunities for data acquisition.
11.Collaborate with data scientists and architects on several projects.