CURRENT OPENINGS

The Lead Data Engineer will report to the Marketing Technology team and will support the development of the customer centric strategy to increase automation and the use of data and analytics throughout customer journeys.  The candidate will be responsible for identifying relevant data and utilizing data tools, technologies and processes to develop continuous, data driven and automated customer communications across marketing and servicing towards omni channel personalized customer experience vision and outcomes.

Responsibilities:

• Create and manage cloud resources in AWS
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems
• Implement data ingestion and processing with the help of Big Data technologies
• Data processing/transformation using various technologies such as Spark and Cloud Services
• Understand assigned part of business logic and implement it using the language supported by the base data platform
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data
• Define process improvement opportunities to optimize data collection, insights and displays
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
• Identify and interpret trends and patterns from complex data sets
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders
• Key participant in regular Scrum ceremonies with the agile teams
• Proficient at developing queries, writing reports, and presenting findings
• Mentor junior members and bring best industry practices
  

• 7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge of one of the following languages: Java, Scala, Python, C#
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
• 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

Nice to have:

• AWS certification
• Spark Streaming
• Kafka Streaming / Kafka Connect
• ELK Stack
• Cassandra / MongoDB
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

We look forward to receiving your resume in PDF format.