We are looking to hire experienced Data engineer to join our team responsible for building technology solutions for the Markets Business Control Tech and for various business risk and controls functions. You will work with the Architects, Business stakeholders and Data Scientists to ensure we are meeting their requirements to develop and drive automation. This is an exciting opportunity to work on an important project for the group, which will have huge impact on the business and future design in this area.
Key Responsibilities:
Evaluate and provide technical solutions to solve a variety of complex and interdependent processes.
- Build and maintain the platform ensuring timely delivery of work items across the multiple initiatives/components.
- Ensure all team members adhere to our code quality and testing standards.
- Test and debug programs Coordinate with internal teams to understand user requirements and provide technical solutions.
- Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analysing/interpreting code
- Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
- Apply fundamental knowledge of programming languages for design specifications.
- Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
- Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
- Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
- Has the ability to operate with a limited level of direct supervision.
Skills & Experience :
- Experience Professional with 13+ Years of experience in Data engineering with good exposure on spark architecture
- Good Exposure on PySpark , Spark development experience, particularly on data processing and the associated modules
- Work exposure on ECS , Kubernetes
- Have worked on DeltaLakehouse and exposure on consuming real time messages via Kafka
- Basic experience on Unix, hdfs and supported libraries such as PyArrow. Any PySpark experience is preferred as the environment uses Hadoop and Spark and it supports python.
- Working knowledge of Databases (SQL) is required.
- Working knowledge of BitBucket or equivalent SCM tool is required.
- Knowledge of Apache Airflow is desirable Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
- Ability to multi-task and deliver to a tight deadline
- Exposure on New age Data architecture using Databricks and S3
Good to Have :
- Data Bricks Certification
- PL/SQL exposure using traditional Databases
- DWH and Datalakehouse concepts
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
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.------------------------------------------------------
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Skills Required
- 13+ years of experience in data engineering
- Strong knowledge of Spark architecture
- PySpark and Spark development experience
- Experience with Databricks and S3-based architectures
- Experience with Delta Lake / Lakehouse concepts
- Experience consuming real-time messages via Kafka
- Exposure to ECS and Kubernetes
- Basic Unix and HDFS experience and familiarity with PyArrow
- Working knowledge of SQL databases
- Experience with BitBucket or equivalent SCM
- Knowledge of Apache Airflow
- Databricks certification
- PL/SQL exposure
- DWH and data lakehouse concepts
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
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