Lead Data Engineer
Job Summary
Job Description
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
What's 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
Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)Additional Job Details
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