Walk-in || Data Engineer

Role & responsibilities

• 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 dat

Preferred candidate profile

• 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