Data Engineer

• 6+ years of experience with ETL/Python/SQL, and data visualization/exploration tools. • Experience in building complex SQL queries. • Familiarity with the Azure Databricks, Azure Data Factory. • Experience in building or maintaining ETL pipelines. • Experience in building Power BI dashboards. • Familiarity with SDLC and Agile ways of working. • Familiarity with Atlassian tools like Bitbucket, JIRA, Confluence. • Develops and maintains scalable data pipelines for extraction, transformation and loading of data from various data sources using ETL tools. • Collaborates with product owners to build data models that feed business intelligence tools. • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics. • Implements processes and systems to monitor data quality, ensuring production data is always accurate, available for key stakeholders and business processes that depend on it. • Performs analysis required to troubleshoot data related issues and assist in the resolution of data issues. • Configuring jobs for auto refreshes of data in the repositories. • Optimizing queries to improve performances of jobs and pipelines. • Following agile and SDLC ways of working in implementation of data pipelines. • Writing necessary technical documents and keeping the documents up to date.