Job Description

Discover your future at Citi

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Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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Data Engineer - Big Data Platforms

Job Summary:

We are seeking a skilled and experienced

Data Engineer

to join our team. The ideal candidate will have expertise in

Big Data platforms

and a strong background in designing, developing, and maintaining data pipelines. You will be responsible for ensuring data quality, optimizing data workflows, and working with distributed data systems. This role requires a deep understanding of modern data engineering workflows, ETL processes, and large-scale data processing.

Key Responsibilities:

Data Engineering

:

Design, develop, and maintain scalable and efficient data pipelines to support business needs. Implement ETL/ELT processes to extract, transform, and load data from various sources into Big Data platforms. Optimize data workflows for performance, scalability, and reliability.

Big Data Platforms

:

Work with Big Data technologies such as Hadoop, Spark, Hive, or HDFS to process and analyze large datasets. Develop distributed data processing pipelines using Spark (PySpark/Scala) and MapReduce. Optimize Big Data workflows for performance and scalability.

Data Integration

:

Integrate data from multiple sources, including APIs, flat files, and third-party systems. Collaborate with data analysts, data scientists, and business teams to understand data requirements.

Data Quality and Governance

:

Ensure data accuracy, consistency, and integrity across systems. Implement data validation and error-handling mechanisms.

Collaboration and Documentation

:

Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. Document data pipelines, data designs, and processes for future reference.

Required Skills and Qualifications:

Technical Expertise

: + Expertise in

Big Data platforms

:
- Experience with Hadoop, Spark (PySpark/Scala), Hive, or HDFS for distributed data processing.
+ Proficiency in SQL and database design principles.
+ Experience with ETL/ELT tools (e.g., Informatica, Talend, or Python-based ETL frameworks).

Programming Skills

: + Proficiency in scripting languages such as

Python

,

Scala

, or

Shell scripting

for data processing and automation.

Data Governance

: + Knowledge of data quality, data governance, and data security best practices.

Soft Skills

: + Strong problem-solving and analytical skills.
+ Excellent communication and collaboration skills.


Ability to work in a fast-paced, dynamic environment.

Qualifications:

7-9 years of relevant experience Experience in systems analysis and programming of software applications Experience in managing and implementing successful projects Working knowledge of consulting/project management techniques/methods Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Education:

Bachelor's degree/University degree or equivalent experience


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.


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Job Family Group:

Technology
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Job Family:

Applications Development
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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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