Big Data Engineer Assistant Vice President

The Role

The Data Engineer is accountable for developing high quality data products to support the

Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve

as an example to other team members, work closely with customers, and remove or

escalate roadblocks. By applying their knowledge of data architecture standards, data

warehousing, data structures, and business intelligence they will contribute to business

outcomes on an agile 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)
• 9 to 11 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
  
  

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
• An inclination to mentor; an ability to lead and deliver medium sized components
  
  

independently

Technical 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: Expertise around 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

• Data Governance: A strong grasp of principles and practice including data quality,
  
  

security, privacy and compliance

Technical Skills (Valuable)

• Ab Initio: Experience developing Co>Op graphs; ability to tune for performance.
  
  

Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT,

Data Profiler and Conduct>IT, Control>Center, Continuous>Flows

• 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:Experience of using a Job scheduler e.g., Autosys. Exposure to Business
  
  

Intelligence tools e.g., Tableau, Power BI

Certification on any one or more of the above topics would be an advantage.

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Digital Software Engineering

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.