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Dallas, TX, USA
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We are seeking a highly skilled Data Engineer to design, develop, test, and maintain scalable data solutions that support business intelligence, analytics, and reporting needs. The candidate will work closely with internal stakeholders and technical teams to ensure reliable and high-quality data delivery.
Responsibilities : Collaborate with business stakeholders, Business Systems Analysts, and development teams to deliver data applications and analytics solutions. Design, build, and maintain automation frameworks using Python. Develop and manage data workflows during the development and deployment of data products. Design and develop reports and dashboards to support business decision-making. Analyze and evaluate data sources, data volumes, and business rules. Perform ETL testing for cloud and on-premise data pipelines, ensuring data accuracy and completeness. Interpret and analyze data from multiple source systems to support data integration and reporting requirements. Validate source-to-target data movement and transformations through database and data application testing. Work with team leads to prioritize business and information needs. Perform data quality analysis and develop summaries and dashboards. Apply knowledge of data modeling and data warehousing concepts, with emphasis on cloud and on-premise environments. Troubleshoot and resolve data issues, anomalies, and performance bottlenecks in a timely manner.
Skills & Technologies : Python Data Engineering & ETL Data Modeling & Data Warehousing Cloud and On-Prem Data Platforms SQL & Database Testing Reporting & Dashboard Development
Any Graduate
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