Found Description
Join a pivotal transformation project as a Senior Data Engineer focusing on Databricks and AWS. Your role will significantly enhance data architecture and support critical BI initiatives.
You will play an integral part in designing and implementing high-performance data pipelines while collaborating with Data Analytics leadership. This role demands a strong understanding of AWS and advanced data engineering practices, enabling efficient data flows that support machine learning and reporting functions.
Key Responsibilities:
• Build and optimize data pipelines with Python and Spark
• Maintain and support AWS-based data infrastructure
• Drive development for key Databricks initiatives
• Collaborate with BI teams on analytics needs
• Enable ML workflows through robust pipeline integration
Requirements:
• 5+ years in Data Engineering or equivalent
• Strong hands-on skills in Python and Apache Spark
• Proven record in AWS environments
• Experience with Dat...
You will play an integral part in designing and implementing high-performance data pipelines while collaborating with Data Analytics leadership. This role demands a strong understanding of AWS and advanced data engineering practices, enabling efficient data flows that support machine learning and reporting functions.
Key Responsibilities:
• Build and optimize data pipelines with Python and Spark
• Maintain and support AWS-based data infrastructure
• Drive development for key Databricks initiatives
• Collaborate with BI teams on analytics needs
• Enable ML workflows through robust pipeline integration
Requirements:
• 5+ years in Data Engineering or equivalent
• Strong hands-on skills in Python and Apache Spark
• Proven record in AWS environments
• Experience with Dat...
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