Data Analytics Lead Engineer

Role Overview

Citi is looking for a Data Analytics Lead Engineer to design, build, and operate scalable data pipelines and cloud-based data architectures within our Lending business. This is a hands-on data engineering role where you will develop and maintain production-grade data systems — working across big data platforms, data lakes, and cloud infrastructure — that directly power lending analytics at scale.

What You Will Do

Build, deploy, and manage end-to-end data pipelines that ingest, transform, and deliver large-scale lending datasets across Mortgage and Personal Loans with high reliability and performance. Design and implement scalable data architectures on cloud platforms, selecting the right tools and approaches across data lakes, data warehouses, and streaming environments.

Why It Might Be a Fit

You will work as a practicing data engineer at the center of one of the world’s largest financial institutions, solving complex, real-world data challenges across lending products that serve millions of customers globally.

Requirements

• 6+ years of hands-on experience building and managing data pipelines, data warehouses, and data lake solutions using technologies such as Hadoop, Apache Spark, PySpark, Databricks, Delta Lake, Hive, Impala, and Iceberg.
• Practical experience with cloud data platforms including Snowflake, Cloudera, used to build and automate ETL and data ingestion workflows.
• Fluency in one or more scripting languages — Python, Scala, or Shell Scripting — applied actively to data engineering, pipeline development, and automation tasks.
• Strong ability to design and query relational and non-relational data stores, with a clear understanding of schema design trade-offs and data modelling principles.
• Hands-on experience with workflow scheduling tools such as Autosys or Apache Airflow to manage and orchestrate data pipeline execution.
• Confident use of DevOps practices including version control, build tools, unit testing, monitoring, and change management to support reliable and repeatable delivery.
• Experience with data visualization platforms such as Tableau, Cognos to support data presentation and reporting needs.
• A Bachelor’s degree or equivalent university qualification; a Master’s degree is preferred.

Benefits

• Medical, dental & vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Tagged as: Data Analysis