Cloud Data Engineer
1 week ago
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)
5 to 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
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
: 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)
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
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Job Family Group:
Technology
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Job Family:
Digital Software Engineering
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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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.
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