Job Description:

Role Overview:

Data Services are the tools and processes that manage and interact with data to orchestrate, source, transform, and make data available to consumers. 

This role requires an experienced and highly skilled software engineer to be part of the design and implementation of strategic data services for the Treasury group to standardize our capabilities and establish similar patterns across the broader organization.

The candidate will work closely with business partners in defining requirements and implementing with a strategic mindset. Employees typically have in-depth knowledge of development tools, and languages.

Some of the responsibilities will include:

• Ability to develop, modify and adopt tools and processes to support self-service data pipeline management
• Drive adoption of the these data tools to modernize existing ETL frameworks/processes
• Collaborate with business and technology partners across the organization to assess data needs and prioritize adoption accordingly
• Identify additional strategic opportunities to evolve the data engineering practice

Required Skills:

• 10 years of experience in data engineering or business intelligence
• Experience building production data pipelines using frameworks such Spark, Hive/Hadoop.
• Hands on experience with schema design and data modeling
• 10 years of software development in a major language such as java and Python. 
• 3 plus years of experience to common Python packages, such as PySpark
• Minimum 3 to 5 years of practical working experience in Relational Databases, preferably Oracle or Oracle Exadata
• Have a software engineering mindset and strive to write maintainable, and testable code
• Comfortable with a variety of tech stacks, and interested in performing proof of concepts on newer trends
• Strong SQL skills and knowledge of relational databases (Oracle etc) and familiarity with other data stores such as Hadoop, data stores
• Experience with performance tuning data transformations across large data sets
• Understanding of the Agile methodology

Desired Skills:

• BS/MS in Computer Science, Engineering or other quantitative discipline
• Knowledge of financial concepts
• Knowledge of cloud or distributed computing
• Experience with Airflow
• Experience with BI Platforms such as MicroStrategy or Tableau
• Software development in an Agile environment
• Working experience with Git, Jira, Confluence

Shift:

Hours Per Week: