Data Engineer

As a Data Engineer, you will play a crucial role in optimizing customer journey and ongoing communication across multiple digital channels. Your responsibilities will include: - Utilizing your analytical thought process and problem-solving skills to optimize customer journey and drive usage, credit education, and repayment. - Building credit strategy to determine customer eligibility and make limit/exposure decisions throughout the customer loan life cycle. - Tracking various Portfolio MIS against the plan and executing campaigns to enhance uptake, usage, and repayment while monitoring performance KPIs. - Developing and maintaining collection MIS, and supporting performance tracking with collection agencies. - Collaborating with product and customer success teams to implement a "Test & Learn" approach for different messages and offers. Qualifications and Skills: - Good analytical thought process and aptitude for problem solving. - Hands-on experience with SQL, Pyspark, SQL in a big data Hadoop/spark environment, AWS, and GCP. - Proficiency in data cleaning and feature creation using Python/Pyspark, data pipeline, and ETL. - Strong entrepreneurial drive. Please note that the additional details of the company were not provided in the job description. As a Data Engineer, you will play a crucial role in optimizing customer journey and ongoing communication across multiple digital channels. Your responsibilities will include: - Utilizing your analytical thought process and problem-solving skills to optimize customer journey and drive usage, credit education, and repayment. - Building credit strategy to determine customer eligibility and make limit/exposure decisions throughout the customer loan life cycle. - Tracking various Portfolio MIS against the plan and executing campaigns to enhance uptake, usage, and repayment while monitoring performance KPIs. - Developing and maintaining collection MIS, and supporting performance tracking with collection agencies. - Collaborating with product and customer success teams to implement a "Test & Learn" approach for different messages and offers. Qualifications and Skills: - Good analytical thought process and aptitude for problem solving. - Hands-on experience with SQL, Pyspark, SQL in a big data Hadoop/spark environment, AWS, and GCP. - Proficiency in data cleaning and feature creation using Python/Pyspark, data pipeline, and ETL. - Strong entrepreneurial drive. Please note that the additional details of the company were not provided in the job description.