Sr Data Engineer

• Extensive hands-on expertise in cloud-based data warehousing, relational database management, data architecture, and complex SQL development.
• Proven track record in designing, developing, and maintaining ETL (Extract, Transform, Load) processes across diverse data sources and systems.
• Skilled in integrating data through APIs, system connectors, flat-file transfers, and automated scheduled feeds.
• Strong background in data modeling, transformation, quality assurance, and metadata governance.
• Experience utilizing enterprise work management solutions such as Adobe Workfront, along with data warehousing and engineering platforms including Snowflake and other similar technologies.
• Ability to convert business objectives and product requirements into technical specifications, scalable data models, and effective reporting solutions.
• Hands-on experience with enterprise work management platforms such as Adobe Workfront, Jira, Smartsheet, and ServiceNow, as well as modern data warehousing and engineering tools including Snowflake, Databricks, Microsoft Azure Data Factory, Amazon Redshift, and Google BigQuery.

Qualifications

• Strong background in developing and managing data engineering and data warehousing solutions using SQL.
• Demonstrated experience creating and supporting robust ETL and data integration pipelines.
• Familiarity with leading cloud data platforms, including Snowflake, Databricks, Redshift, and BigQuery.
• Solid knowledge of data modeling, transformation processes, and maintaining high data quality standards.
• Skilled at turning business objectives into scalable data solutions and meaningful business insights.