Data Engineer, Card Products

GENERAL FUNCTION

As a Data Engineer focused on Card Products, you will play a key role in designing and developing the next-gen Dynamic Data Engineering framework. This role will work closely with Data Scientists, Product Managers, and other Engineering teams to ensure that card transaction data, customer behavior metrics, fraud indicators, and operational performance data are accurate, timely, and accessible for analysis and reporting.

DUTIES/RESPONSIBILITIES

• Lead the reporting data structure design and oversee the design phases of the projects, ensuring that design conforms to established architecture design guidelines and standards
• Support the enhancement of data lake platforms acquiring additional data sources - structured and unstructured
• Develop and deliver long-term goals for data architecture standards
• Create short-term tactical solutions to achieve long-term objectives and data management roadmap
• Ensure the success of enterprise-level application roll-outs; connect vendors and providers to select products and services that meet the company's goal
• Develop highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels
• Be an active part in analyzing and constantly learning the latest Big Data technologies and their innovative applications in both business intelligence analysis and new service offerings, adopt and implement these insights and best practices
• Drive projects that merge digital and transactional data for advanced analytics.

EDUCATION

• Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s preferred).

EXPERIENCE

• 3+ years of relevant experience in Data Engineering / Analytics domain with at least 1 year in Digital Analytics
• 3+ years of experience in data analysis, data modeling and data management
• Experience with building a data lake over Cloud / Azure, ADF, Synapse, and Databricks - Delta Lake
• Strong experience with SQL and one other programming language (Python/ .NET/ Java)
• Hands on Experience parsing NOSQL file systems such as JSON, XML, AVRO, Parquet.
• Proven track record of using Apache Spark Data Bricks or Snowflake
• Exposure to traditional BI Tools (Tableau, Power BI, Qlik, SSRS, etc.)
• Experience building web-services is a plus.
• Strong understanding of Python scripting and use of libraries (Numpy, Pandas)

SKILLS

• Functional knowledge of financial instruments such as Installment Loans, Payday Loans and data domains such as loans, underwriting, collection, promotions, call center data, Fraud, etc.
• Strong knowledge of Big Data technologies such as Data Bricks, Event driven data processing using Function Apps/Lambda is preferred
• Understanding of Web services (SOAP, XML, UDDI, WSDL)
• Excellent problem-solving and analytical skills.
• Ability to work independently and in cross-functional teams.
• Strong communication skills for both technical and non-technical audiences