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Formulate and define systems scope and project objectives through research activities
Analyze business client needs and document requirements by utilizing business analysis procedures and concepts
Assess applicability of previous or similar experiences and evaluate options under circumstances not covered by procedures or precedents
Identify risk and consider business implications of the application of technology to the current business environment
Create and prepare reports, metrics and presentations
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements
4-8 years of experience with software building and platform engineering
Experience in Data Engineering, focused on Big Data ecosystems
Knowledge in Hadoop, Pyspark, YARN, Hive, Impala, Spark, and Spark SQL with extensive high volume of data processing pipeline development
Programming Expert level and hand on experience in Python
Familiarity with data formats like Avro, Parquet, CSV, JSON
Hands-on experience in writing SQL queries
Experienced with Unix based operating systems and shell scripting
Experience with source code management tools such as Bitbucket, Git etc.
Strong computer science fundamentals in data structures, algorithms, databases, and operating systems
Reverse Engineering, ability to read spaghetti SQL or old scripts and document the business logic before moving it
What we offer
Programs and services for physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more
Access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses