Information Security Information Security Engineer 3 Contingent

In this contingent resource assignment, you may: 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. Required Qualifications: 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.

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LOCATION -
Columbus, and Las Colinas
Video - 2 intv - panel

*************Same manager on (phone number removed), (phone number removed), (phone number removed) and (phone number removed) - PLEASE DO NOT PUT THE SAME CANDIDATE ON ALL REQS FOR THE S3

This position is focused on IAM Data Lake -Data Engineering responsibilities. We are seeking a Data Engineer with hands-on experience building Data Lake in Google Cloud Platform using big data tools and technologies. Experience with Hadoop/HDFS is highly desirable. Detailed requirements are listed below. Preferred location is Dallas, TX; Ohio is also an acceptable alternative.

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 GCP-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.

Category
Name
Required
Importance
Experience
xms-USIT Airflow
1

2 - 4 Years
Remove
xms-USIT API
1

2 - 4 Years
Remove
xms-USIT AVRO
2

Remove
xms-USIT CI/CD
1

4 - 6 Years
Remove
xms-USIT Data Modeling
3

1 - 2 Years
Remove
xms-USIT data pipelines
1

2 - 4 Years
Remove
xms-USIT Data Processing
1

4 - 6 Years
Remove
xms-USIT Google Cloud Platform
1

4 - 6 Years
Remove
xms-USIT Hadoop Ecosystem
2

2 - 4 Years
Remove
xms-USIT pyspark
1

4 - 6 Years
Remove

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.