Data Engineer

Role & responsibilities

• Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity.
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase 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.
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Works closely with a team of front-end and backend engineers, product managers, and analysts.
• Defines company data assets (data models), spark, spark SQL, and hive SQL jobs to populate data models.
• Designs data integrations and data quality framework

Required Skills & 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.