Job Description & How to Apply Below
Join as a Cloud Data Engineering Lead, focusing on advanced data management and SQL proficiency. Utilize your expertise in Python and Databricks to enhance enterprise data systems.
In this role, we need a passionate Cloud Data Engineer with a strong foundation in Python, PySpark, SQL, and data warehousing for enterprise scale systems. You will liaise with business users, optimizing data pipelines and implementing best practices. Expertise in investment banking and capital markets will be a notable advantage in fulfilling this role.
Key Responsibilities:
• Design and deploy data pipelines using Databricks
• Ensure data quality and integrity during ingestion
• Conduct code reviews and performance tuning
• Handle both structured and unstructured datasets
• Develop ETL pipelines for seamless data integration
Requirements:
• 5+ years Python and SQL development experience
• Proven experience with cloud data architectures
• Familiarity with data modeling and ETL processes
• Strong analytical and design capabilities
• Cloud certification preferred
Leverage your expertise in cloud data management to drive impactful enterprise solutions.
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