Senior Data Engineer - Assistant Vice President

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Job Overview
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 ------------------------------------------------------

Job Family:

Applications Development ------------------------------------------------------

Time Type:

Full time ------------------------------------------------------

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.



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