Senior Cloud Data Platform Engineer (Hybrid)

U.S. Bank; Irving (TX); Hybrid; USD 105,400 - 124,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) and retirement plans

Paid vacation

Parental leave

Job summary

A leading financial institution is seeking an experienced Data Engineer to manage data-centric solutions in a cloud environment. The role involves designing scalable data architectures, optimizing data processes, and ensuring data governance and security. Candidates should have a strong background in Data Engineering technologies and extensive experience with Azure cloud services. This position offers a hybrid work schedule, emphasizing collaboration and innovation.

Qualifications

• 10+ years of hands-on experience in Data engineering, Cloud platform management, and performance optimization.
• Hands-on experience with Hadoop, Hive, Spark, and migration of Big Data into Azure cloud services.
• Working knowledge of Data Integration and Data Lake Architectures.

Responsibilities

• Guide team to migrate from on-prem Cloudera to Azure cloud environment.
• Design and implement scalable data lake solutions.
• Manage data governance, quality, and security across cloud environments.

Skills

Data Engineering

Cloud Management

Hadoop

Spark

Hive

Python

Linux

Ansible

Documentation

Collaboration

Education

Advanced degree in Computer Science, Engineering or related field

Tools

Databricks

Snowflake

Azure Cloud

HashiCorp Vault

CyberArk

Cloudera

Job description

A leading financial institution is seeking an experienced Data Engineer to manage data-centric solutions in a cloud environment. The role involves designing scalable data architectures, optimizing data processes, and ensuring data governance and security. Candidates should have a strong background in Data Engineering technologies and extensive experience with Azure cloud services. This position offers a hybrid work schedule, emphasizing collaboration and innovation.