Senior Data Engineer

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Skills you'll use

What you'll do

• Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs. 
• Build, maintain, and optimize data pipelines and transformations using Python, SQL, and Spark. 
• Manage large-scale data storage and processing with Iceberg, Hadoop, and HDFS. 
• Develop and maintain dbt models to ensure clean, reliable, and well-structured data. 
• Implement robust data ingestion processes, integrating with third-party APIs and on-premise systems. 
• Collaborate with cross-functional teams to align on business goals and technical requirements. 
• Contribute to documentation and continuously improve engineering and data quality processes. 
• 4+ years of experience in data engineering, including at least 1 year with on-premise systems. 
• Proficiency in Python for data workflows and pipeline development. 
• Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt. 

Who can apply

• Proficiency in Python for data workflows and pipeline development. 
• Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt. 
• Familiarity with third-party APIs and data ingestion processes. 
• Excellent communication skills, with the ability to work independently and engage effectively with both technical and non-technical stakeholders. 
• Master’s degree in Data Science or a related field. 
• Experience with Airflow or other orchestration tools. 
• Hands-on experience with Cursor, Copilot, or similar AI-powered developer tools. 

About Blend360

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