Senior Data Engineer - Assistant Vice President

Citi; New York (NY); Hybrid; USD 42,000 - 73,000; Full time

Job summary

Citi is seeking a Senior Data Engineer - Assistant Vice President to join our global technology team. You will lead the design and construction of next‑generation data architecture, focusing on ingestion, transformation, quality, and lineage across diverse data sources.

You will implement robust ETL/ELT pipelines, help shape data lakehouse architectures, and optimize data workflows on cloud platforms using Spark, Kafka, and Databricks.

Qualifications

• 8–10 years of experience in Data Engineering.
• Proficiency in Python and SQL.
• Hands-on experience with Apache Spark, Hadoop or equivalent.
• Experience with relational and NoSQL databases; ML/AI knowledge is a plus.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines from diverse sources.
• Contribute to scalable data architectures (data lakes, data warehouses, lakehouse).
• Implement data quality checks, validation, and lineage monitoring.
• Build and optimize data solutions on cloud platforms using Spark, Kafka, Databricks.
• Profile and tune SQL queries and data pipelines for efficiency and cost control.

Skills

Python

SQL

Apache Spark

Hadoop

Data engineering

Education

Bachelor's degree

Tools

Databricks

Kafka

Job description

Senior Data Engineer - Assistant Vice President

Job Req Id:

26982882

Location(s):

Chennai, Tamil Nadu, India, Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

Sep. 08, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 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

Are you passionate about building scalable, high-impact data solutions that drive critical business insights? We are seeking an experienced and forward-thinking Lead Data Engineer to join our dynamic team.

In this pivotal role, you will be at the forefront of designing and constructing our next-generation data architecture. You will tackle complex challenges in data ingestion, transformation, and quality, directly shaping our ability to make data-driven decisions. If you thrive on building robust systems from the ground up and want to see your work make a tangible difference, this is the opportunity for you.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources.

• Contribute to the design of scalable data architectures, including data lakes, data warehouses, and lakehouse patterns.

• Implement data quality checks, validation frameworks, and monitoring solutions to ensure data accuracy, completeness, and lineage compliance.

• Build and optimize data solutions on cloud platforms leveraging services such as Spark, Kafka, Databricks.

• Profile and tune SQL queries, Spark jobs, and pipeline workflows for efficiency and cost effectiveness.

Experience and Education:

• Must to have 8-10 years of experience in Data Engineering

• proficiency in Python, strong SQL skills

• Hands on experience with Apache Spark, Hadoop, or equivalent distributed computing frameworks

• Experience with relational databases and NoSQL systems Knowledge on Machine Learning, AI would be added advantage

• 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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