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This is a lead developer role in a fast-paced technology delivery organization supporting regulatory compliance. This position is part of AML Monitoring Technology team.

Responsibilities

• Developing and supporting scalable, extensible, and highly available data solutions

• Deliver on critical business priorities while ensuring alignment with the wider architectural vision

• Identify and help address potential risks in the data supply chain

• Follow and contribute to technical standards

• Design and develop analytical data models

Required Qualifications & Work Experience

• First Class Degree in Engineering/Technology (4-year graduate course)

• 8+ years’ experience implementing data-intensive solutions using agile methodologies

• Experience of relational databases and using SQL for data querying, transformation and manipulation

• Experience of modelling data for analytical consumers

• Ability to automate and streamline the build, test and deployment of data pipelines

• Experience in cloud native technologies and patterns

• A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training

• Excellent communication and problem-solving skills

T echnical Skills (Must Have)

• ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica

• Big Data : Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

• Data Warehousing & Database Management : Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design

• Data Modeling & Design : Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures

• Languages : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

• DevOps : Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

Technical Skills (Valuable)

• Cloud : Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs

• Data Quality & Controls : Exposure to data validation, cleansing, enrichment and data controls

• Containerization : Fair understanding of containerization platforms like Docker, Kubernetes

• File Formats : Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta

• Others : Basics of Job scheduler like Autosys. Basics of Entitlement management

• Certification on any of the above topics would be an advantage.

Additional Job Description

• Opportunity to work on strategic AML Monitoring transformation applications

• Opportunities for career growth within Global program that is expanding

• Exposure and opportunity to work in innovative technologies

• Exposure to AML monitoring processes and functional knowledge

• A team with a win-together and strong sense of identity and positive culture

Job Family Group:

Technology

Job Family:

Digital Software Engineering

Time Type:

Full time

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.