Data Engineer, Credit Modeling

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Requirements:

• 3+ years experience building complex data pipelines and working with both technical and business stakeholders.
• Experience in at least one primary programming language (Java, Scala, Python) and SQL.
• Experience with BigQuery, Spark, AWS Redshift, Kafka, or Kinesis streaming.
• Experience creating and maintaining ETL processes.
• Experience designing, building, and operating a DataLake or Data Warehouse.
• Experience with DBMS and SQL tuning.
• Strong fundamentals in big data and machine learning.

Responsibilities:

• Design, build, and maintain distributed batch and real-time data pipelines and data models.
• Facilitate real-life actionable use cases leveraging data with a user- and product-oriented mindset.
• Support teams without data engineers with decentralized data solutions and product integrations, such as those involving DynamoDB.
• Enforce privacy and security standards by design.