Lead Data Engineer

What is the opportunity?

Platform Data Delivery team is looking for a Lead Data Engineer for Hadoop and Cloud data transformations, legacy code modernization using Large Language Model tools, as well as business sponsored programs such as Compliance and Regulatory. The engineer will work closely with DNA Business PM, Data Analyst, QA, and Operations to evolve the technologies and data processes used by business platforms.

Must-have

• 10+ years of IT experience with data engineering and development expertise

• 8+ year of ETL Experience on Data Warehousing and Data Lake environments. Expert on main ETL platforms and tools (Teradata, SQL, DataStage, DB2/ORACLE)

• 5+ years of Hadoop Development experience (HDFS, Spark, Scala, Hive, Sqoop)

• 5+ years of Mainframe (COBOL/JCL/SYSIN/Zeke/SORT) experience

Nice-to-have

• Cloud database development experience such as Snowflake

• Python/PySpark experience

• Devops Expertise such as Helios, Github, Jenkins, UrbanCode

Whats in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• A world-class training program in financial services

• Flexible work/life balance options

• Opportunities to do challenging work

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Job Skills

Additional Job Details

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above