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Job Description

Roles/Responsibilities :


- Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity.

- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

- Writes unit/integration tests, contributes to engineering wiki, and documents work.

- Performs data analysis required to troubleshoot data related issues and assist in the

resolution of data issues.

- Works closely with a team of frontend and backend engineers, product managers, and analysts.

- Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate

data models.

- Designs data integrations and data quality framework.


Basic Qualifications :


- BS or MS degree in Computer Science or a related technical field

- 5+ years of Python or Java development experience

- 5+ years of SQL experience (No-SQL experience is a plus)

- 5+ years of experience with schema design and dimensional data modelling

- 5+ years of experience with Big Data Technologies like Spark, Hive

- 2+ years of experience on data engineering on Google Cloud platform services like big query


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