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------------------------------------------------------
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.------------------------------------------------------
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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 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
- Bachelor’s degree, university degree, or equivalent experience
- Knowledge of machine learning and artificial intelligence
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.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
