Information Security Engineer - IAM Data Lake / Data Engineering

IRVING, TX, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
On-site
$53.56 - $58.7/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Lake
  • Data Engineering
  • Finance
  • Big Data
  • Lifecycle Management
  • Access Control
  • Apache Parquet
  • Apache Avro
  • Data Compression
  • Streaming
  • Change Data Capture
  • Analytical Skill
  • Training
  • Military
  • Data Processing
  • Google Cloud Platform
  • Google Cloud
  • PySpark
  • Extract
  • Transform
  • Load
  • API
  • Continuous Integration
  • Continuous Delivery
  • Data Modeling
  • HDFS
  • Apache Hadoop
  • Evaluation
  • Regulatory Compliance
  • Collaboration
  • Information Security

Summary

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

We are seeking a Data Engineer with hands-on experience building Data Lakes in Google Cloud Platform using big data tools and technologies. Experience with Hadoop/HDFS is highly desirable.

Qualifications
  • Strong understanding of Google Cloud architecture, including bucket structuring, naming standards, lifecycle management policies, and access control mechanisms
  • Hands on experience working with columnar data formats such as Parquet, Avro, and ORC, along with associated compression strategies
  • Experience building both batch and streaming ingestion pipelines using Google Cloud Platform-native services
  • Knowledge of Pub/Sub-based streaming architectures, including event schema design, schema evolution, and versioning best practices
  • Familiarity with incremental ingestion techniques and Change Data Capture (CDC) patterns
  • Understanding of data consumption and exposure patterns including views, APIs, and curated analytical datasets


Required Skills & Experience
  • 4+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • 4+ years of Data Processing experience
  • 4+ years of Google Cloud Platform (Google Cloud Platform) experience
  • 4+ years of PySpark experience
  • 4+ years of Data Pipeline development experience
  • 4+ years of API development/integration experience
  • 2-4 years of Airflow experience
  • 2+ years of CI/CD experience
  • 2+ years of Data Modeling experience
  • 1+ year of Hadoop/HDFS experience


Desired Skills & Experience
  • Hadoop Ecosystem


What You Will Be Doing
  • Consult on or participate in moderately complex initiatives and deliverables within Information Security Engineering and contribute to large-scale planning related to Information Security Engineering deliverables.
  • Review and analyze moderately complex Information Security Engineering challenges that require an in-depth evaluation of variable factors.
  • Contribute to the resolution of moderately complex issues and consult with others to meet Information Security Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
  • Collaborate with client personnel in Information Security Engineering.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 877516
  • Posted 3 hours ago
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