AI Summary
Design and implement modern data models using AWS services. Assess current infrastructure and identify gaps in AWS capabilities. Develop a detailed roadmap for data modernization and migration.
Key Highlights
Architect Modern Data Models
Assess Current Infrastructure
Develop Data Modernization Strategy
Key Responsibilities
Architect Modern Data Models
Assess Current Infrastructure
Develop Data Modernization Strategy
Implement Data Governance Frameworks
Migrate Existing Data to Modern Data Warehousing Platform
Enable Integration of Structured/Unstructured Data
Build Robust Staging and ODS Layers
Technical Skills Required
Benefits & Perks
Relocation package provided
Job requires relocation to unanticipated client sites throughout the United States
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, SLK America Inc., is seeking the following. Apply via Dice today!
DUTIES:
Architect Modern Data Models: Leverage AWS S3, AWS Glue, AWS Redshift, and DBT Core to
support scalable and efficient data processing and self-service analytics.
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Infrastructure: Perform a comprehensive review of NYL’s data landscape, including legacy
systems, data flows, governance processes, policy/contract data, and vendor data. Analyze
AWS Capabilities: Identify synergies and gaps in current AWS services to define the target-state
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perspective for addressing capability gaps. Target-State Data Model: Define approach and
considerations for developing a new, scalable data model. Data Modernization Strategy: Create
a detailed roadmap for migration, data model transformation, cloud infrastructure, and governance.
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Cloud Data Migration: Migrate existing data from current AWS infrastructure to a modern data
warehousing platform.
- Data Integration & Real-Time Processing: Enable integration of structured/unstructured data from multiple sources and implement real-time processing capabilities. ML-Ready Infrastructure: Build robust staging and ODS layers to handle large volumes of data for machine learning and advanced analytics. Governance & Compliance: Implement data governance frameworks (quality, lineage) and ensure compliance with insurance standards and regulations. Requirements: Bachelor’s Degree or foreign academic equivalent in Electronic Engineering, Electronics & Communications Eng. Electrical Eng., Computer Science, Computer Engineering or related field. Requires 5 years of experience in the job offered or as Solution Architect, Software Engineer, Sr. Software Engineer, Technical Lead or related field. Requires experience in Azure Data Factory, Azure DataStorage Gen2, Snow Pipes, Streams, Tasks, AWS glue, AWS S3, AWS Redshift, SQL, Spark SQL, BySPark, DBT Core, SQL Server, Azure SQL Server, Azure Data Lake Storage Gen2, delta Lake, Databricks, Spark, AWS Glue, AWS Redshift. Job requires relocation to unanticipated client sites throughout the United States
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