Job Description:
Global Banking Technology - (GBT):

• Believes diversity makes us stronger so we can reflect, connect and meet the diverse needs of our clients and employees around the world
• Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully
• Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals
• Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience
• Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs
• Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing and giving them what they need to remain vibrant and vital

Required Skills

• Bachelor's or master's degree in Computer Science or related field
• 7-10 years of hands-on experience in designing, building and supporting Hadoop applications using Spark, Scala and Hive
• Strong knowledge of working with large data sets and high capacity big data processing platform
• Exposure to ETL and data warehousing concepts
• Strong experience in Unix, Shell scripting and Python
• Strong SQL skills, and experience in at least one RDBMS
• Must be high-energy, proactive, detail-oriented and able to function under pressure in an independent environment
• Should have good communication skills and experience working in Agile model
• Working knowledge of continuous integration/delivery (CI/CD) using Jenkins, Ansible or related tools

Desired Skills

• Experience in Banking and Finance domain or Global Banking domain
• Experience in any cloud platform or technologies (e.g. Azure, Snowflake)
• Knowledge of any data quality/profiling (e.g. Collibra) or ETL tool (e.g. Informatica, Talend)
• Experience with source control management (e.g., Bitbucket) or job scheduling (e.g., AutoSys) tools
• Experience working on end to end data lineage and data quality across platforms

Shift:
1st shift (United States of America)
Hours Per Week:
40
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