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 irflow Yes 1 2 - 4 Years xms-USIT PI Yes 1 2 - 4 Years xms-USIT VRO Yes 2 xms-USIT CI/CD Yes 1 4 - 6 Years xms-USIT Data Modeling Yes 3 1 - 2 Years xms-USIT data pipelines Yes 1 2 - 4 Years xms-USIT Data Processing Yes 1 4 - 6 Years xms-USIT Google Cloud Platform Yes 1 4 - 6 Years xms-USIT Hadoop Ecosystem Yes 2 2 - 4 Years xms-USIT pyspark Yes 1 4 - 6 Years
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
Information Security - Information Security Engineer 3 - Contingent • Irving, TX, United States
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