Lead Software Engineer- Financial Services Data Engineering: Pyspark / Java / BigData / Datalake / AI
Job Description
About this kind of role
What a Lead Software Engineer- Financial Services Data Engineering: Pyspark / Java / BigData / Datalake / AI usually does. The employer's own details are in the listing.
Typically does: Designs, develops, and maintains data engineering solutions for financial services applications, focusing on large-scale data processing and storage. This role involves building and optimizing data pipelines, ensuring data quality, and implementing data governance policies. Responsibilities often include collaborating with data scientists and business analysts to understand data needs and translate them into technical solutions. A key focus is on leveraging advanced technologies to improve data accessibility and analytical capabilities.
Tools and skills: Proficiency in Python, Java, Spark, and experience with big data technologies, data lakes, and potentially artificial intelligence frameworks is generally required.
Good fit for: Individuals with strong analytical and problem-solving skills, a solid understanding of data warehousing principles, and a passion for building robust and scalable data solutions thrive in this role.
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