Requirement

5-+ years’ experience as data engineer in consumer finance or equivalent industry
(consumer loans, collections, servicing, optional product, and insurance sales)

AWS(Glue,Lambda), Python, PySpark, SQL(2 years relevant project exp is required)
 Strong background in math, statistics, computer science, data science or related discipline
 Advanced knowledge one of language: Snowflake,Java, Scala, Python, C#
 Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web
Services (AWS), Docker / Kubernetes, Snowflake
 Proficient with
 Data mining/programming tools (e.g. SAS, SQL, R, Python)
 Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
 Data visualization (e.g. Tableau, Looker, MicroStrategy)
 Comfortable learning about and deploying new technologies and tools.

 Organizational skills and the ability to handle multiple projects and priorities
simultaneously and meet established deadlines.
 Good written and oral communication skills and ability to present results to non-technical
audiences
 Knowledge of business intelligence and analytical tools, technologies and techniques.
 Familiarity and experience in the following is a plus:
 AWS certification
 Spark Streaming
 Kafka Streaming / Kafka Connect
 ELK Stack
 Cassandra / MongoDB
 CI/CD: Jenkins, GitLab, Jira, Confluence other related tools