Responsibilities:

• Assemble large, complex data sets that meet business requirements.


• Closely work with stakeholders to understand requirements and implement the same in the database framework


• Write and optimize SQL statements for reporting and analytics requirements


• Applying best practices like version control and continuous integration to the Analytics code base.


• Build the infrastructure required for optimal extraction, transformation, and loading of data from the data warehouse.


• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and if required, re-designing infrastructure for greater scalability.


• Prepare documentation and specifications.

Skills and Qualifications:

• Minimum 2 years of experience working in the data domain.


• Experience building and optimizing ETL data pipelines, architectures, and data sets.


• History of manipulating, processing, and extracting value from large disparate datasets.


• Mandatory experience with Advanced SQL.


• Mandatory experience with Python.


• Hands-on experience with Google Big Query is a plus.


• Should have good communication skills