Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
Collaborate 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.
Design data integrations and data quality framework.
Building required infrastructure for optimal extraction, transformation, and loading of data from various data sources.
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
Experience working on CI/CD processes such as Jenkins, Codeway, etc., and source control tools such as GitHub, etc.
Strong experience in coding languages like Python, Scala & Java
