Data EngineerETL Developer

• 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.

• 6 years of experience with 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.

python/sql,jira,azure data factory,data visualization,atlassian tools,sql queries,optimizing queries,bitbucket,etl tools,agile,sdlc,analysis,power bi,azure databricks,sql,python,confluence,build data models,etl pipelines