Informatica ETL SQL Developer

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. This role will work closely with business partners in defining requirements and implementing with a strategic mindset. Employees typically have indepth knowledge of development tools and languages. This is an individual contributor role. Typically requires 10 plus years of applicable experience. This job code is only to be used for Employees supporting Global Markets.

This role will require you to:
Ability to develop modify and adopt tools and processes to support selfservice 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
10 years of experience in data engineering or business intelligence
Experience building production data pipelines using frameworks such Spark Hive/Hadoop and/or with INFORMATICA or equivalent ETL tools.
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
Exceptional problem solving skills Excellent communication skills
Understanding of the Agile methodology
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
Excellent written and oral communication skills
Passion for automation and continual process improvement