## Job Opportunity Overview
We are seeking a highly skilled individual with extensive experience in data engineering, particularly within the consumer finance sector or related fields such as consumer loans, collections, servicing, and insurance sales.
### Required Experience
- **Minimum of 7 years** of experience as a data engineer.
- Strong foundation in disciplines such as **mathematics, statistics, computer science, or data science**.
### Technical Skills
- **Programming Languages**: Advanced knowledge in at least one of the following: Java, Scala, Python, or C#.
- **Big Data Technologies**: Production experience with HDFS, YARN, Hive, Spark, Kafka, Oozie or Airflow, and Amazon Web Services (AWS).
- **Containerization**: Proficiency with Docker or Kubernetes.
- **Data Warehousing**: Familiarity with Snowflake.
- **Data Mining and Programming Tools**: Proficient in SAS, SQL, R, or Python.
- **Database Technologies**: Experience with PostgreSQL, Redshift, Snowflake, and Greenplum.
- **Data Visualization Tools**: Knowledge of Tableau, Looker, or MicroStrategy is essential.
### Additional Qualifications
- Experience with **cloud resource management** in AWS.
- Capable of data ingestion from various sources such as RDBMS, REST HTTP APIs, flat files, streams, and time series data.
- Ability to implement data processing and transformation utilizing technologies such as Spark and Cloud Services.
- Development of automated data quality checks to ensure data integrity and accuracy.
### Preferred Skills
- AWS certification and familiarity with **Spark Streaming** and **Kafka Streaming**.
- Experience with the ELK Stack, Cassandra, or MongoDB.
- Proficient in CI/CD tools such as Jenkins, GitLab, Jira, and Confluence.
### Soft Skills
- Strong organizational abilities with a talent for handling multiple projects and meeting deadlines.
- Excellent written and oral communication skills, with the capacity to effectively present complex technical information to non-technical audiences.
- Understanding of business intelligence and analytical tools and techniques.
If you meet these qualifications and are looking for a remote opportunity to leverage your data engineering expertise, we would love to hear from you.
Employment Type: Full-Time