Citi Group Data Engineer 

Canada, Ontario, Old Toronto 

333053517

Responsibilities:

• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas

• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users

• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement

• Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality

• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems

• Ensure essential procedures are followed and help define operating standards and processes

• Serve as advisor or coach to new or lower level analysts

• Has the ability to operate with a limited level of direct supervision.

• Can exercise independence of judgement and autonomy.

• Acts as SME to senior stakeholders and /or other team members.

• 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.

Qualifications:

• 5+ years of relevant experience in Apps Development or systems analysis role.

• 5+ years experience using tools for statistical modeling of large data sets

• 5+years experience and strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably) or Snowflake Hands-on experience working with Core SQL, Hive, Impala and HBase, Kudu, Spark for data curation/conformance related work

• 5+ years experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event-based messaging

• Extensive experience system analysis and in programming of software applications

• Experience in managing and implementing successful projects

• Subject Matter Expert (SME) in at least one area of Applications Development

• Ability to adjust priorities quickly as circumstances dictate

• Demonstrated leadership and project management skills

• Consistently demonstrates clear and concise written and verbal communication

• 5+ years of proven experience as a Data Engineer working with large-scale data platforms.

• Strong proficiency in PySpark (Python API) and Scala Spark.

• Expertise in writing complex SQL queries for data manipulation and analysis.

• Experience with data warehousing solutions and technologies.

• Solid understanding of data structures, algorithms, and distributed systems.

• Excellent communication and collaboration skills.

Education:

• Bachelor’s degree/University degree or equivalent experience

Additional Requirements (good to have):
EMR, Snowflake, Couchbase, S3 experience a plus
• Experience with the AWS or GCP tech stack components
• Relational and NoSQL database integration and data distribution principles experience
• Experience with API development and use of JSON/XML/Hypermedia data formats
• Analysis and development across Lines of business including Payments, Digital Channels, Sales, Liquidities, Trade, Commercial Cards, Client Experience, Global Billing
• Cross train and fertilize functional and technical knowledge,
• Align to Engineering Excellence Development principles and standards.
• Fully adhere to and evangelize a full Continuous Integration and Continuous Deploy pipeline

Time Type:

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