Job Description

Job Title:


Data Engineer - C11/Officer (India)


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



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.
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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.
-


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.


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