Hybrid Data Analytics Lead Engineer - Cloud & AI Pipelines

Citibank (Switzerland) AG

Irving (TX)

Hybrid

Confidential

Full time

2 days ago
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Benefits offered by this job

Hybrid work model

Job summary

Citi in Irving, Texas is seeking a Data Analytics Lead Engineer to design, build and operate scalable data pipelines and cloud-based architectures for Lending analytics across Mortgage and Personal Loans. This hands-on role runs across big data platforms, data lakes, and cloud infrastructure, with a focus on integrating AI/ML capabilities and ensuring data quality, performance, and business impact.

You will collaborate with Analysts, Data Engineers, and Governance teams while leveraging tools

Qualifications

  • 6+ years building and managing data pipelines, data warehouses, and data lake solutions.
  • Experience with cloud data platforms including Snowflake, Cloudera; ETL and data ingestion workflows.
  • Fluency in Python, Scala, or Shell scripting.

Responsibilities

  • Build, deploy, and manage end-to-end data pipelines for large lending datasets.
  • Design scalable cloud data architectures across data lakes, warehouses, and streaming environments.
  • Architect and implement data schemas to meet performance and scalability requirements.
  • Write and optimize SQL queries for large datasets.
  • Monitor, diagnose, and resolve data quality issues in pipelines.
  • Apply generative AI tools to accelerate engineering tasks.
  • Collaborate with analysts, data engineers and governance teams to translate requirements into solutions.

Skills

Data engineering
Cloud data platforms
SQL proficiency
Python/Scala
Workflow orchestration
DevOps practices
Data visualization

Education

Bachelor's degree or equivalent
Master's degree preferred

Tools

Hadoop
Apache Spark
PySpark
Databricks
Delta Lake
Hive
Impala
Iceberg
Snowflake
Cloudera
Tableau
Cognos
Airflow
Autosys

Job description

Citi in Irving, Texas is seeking a Data Analytics Lead Engineer to design, build and operate scalable data pipelines and cloud-based architectures for Lending analytics across Mortgage and Personal Loans. This hands-on role runs across big data platforms, data lakes, and cloud infrastructure, with a focus on integrating AI/ML capabilities and ensuring data quality, performance, and business impact.

You will collaborate with Analysts, Data Engineers, and Governance teams while leveraging tools

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