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AWS Data Architect - W2 Contract

SDVS Technologies LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

AWS Data Engineer - W2 Contract

SDVS Technologies LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

Job Details

Skills

AWS Architect
ETL
Data Warehouse
SQL
Python
Lambda

Summary

We are seeking an experienced AWS Data Architect to design, develop, and implement scalable, secure, and high-performance cloud data architectures on Amazon Web Services (AWS). The ideal candidate will have strong expertise in data architecture, data engineering, data lakes, data warehouses, ETL/ELT pipelines, and cloud data migration. Experience with modern data platforms, data governance, and Generative AI integration is a plus.

Key Responsibilities

Design and implement scalable data architectures using AWS cloud services.
Build and maintain cloud-based data lakes, data warehouses, and lakehouse solutions.
Design and optimize ETL/ELT pipelines for batch and real-time data processing.
Develop data ingestion, transformation, integration, and orchestration frameworks.
Leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Athena, EMR, Lambda, Kinesis, and Step Functions.
Design data processing solutions using Python, SQL, PySpark, and Apache Spark.
Lead on-premises-to-AWS data migration and legacy data platform modernization initiatives.
Develop data models, data integration patterns, and metadata management strategies.
Implement data quality, data lineage, data cataloging, governance, and security standards.
Optimize data pipelines and storage solutions for performance, scalability, reliability, and cost efficiency.
Design secure data access using IAM, encryption, AWS Lake Formation, and appropriate access controls.
Collaborate with data engineers, data scientists, application architects, and business stakeholders to translate business requirements into technical solutions.
Establish best practices for data architecture, documentation, monitoring, and operational support.
Evaluate emerging AWS data services and recommend suitable technologies for enterprise data platforms.

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: 91135323
Position Id: 9112609
Posted 9 hours ago

Fitment

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Lalith Kumar

Recruiter @ SDVS Technologies LLC

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Job Details

Skills

AWS Architect
ETL
Data Warehouse
SQL
Python
Lambda

Summary

Key Responsibilities

Design and implement scalable data architectures using AWS cloud services.
Build and maintain cloud-based data lakes, data warehouses, and lakehouse solutions.
Design and optimize ETL/ELT pipelines for batch and real-time data processing.
Develop data ingestion, transformation, integration, and orchestration frameworks.
Leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Athena, EMR, Lambda, Kinesis, and Step Functions.
Design data processing solutions using Python, SQL, PySpark, and Apache Spark.
Lead on-premises-to-AWS data migration and legacy data platform modernization initiatives.
Develop data models, data integration patterns, and metadata management strategies.
Implement data quality, data lineage, data cataloging, governance, and security standards.
Optimize data pipelines and storage solutions for performance, scalability, reliability, and cost efficiency.
Design secure data access using IAM, encryption, AWS Lake Formation, and appropriate access controls.
Collaborate with data engineers, data scientists, application architects, and business stakeholders to translate business requirements into technical solutions.
Establish best practices for data architecture, documentation, monitoring, and operational support.
Evaluate emerging AWS data services and recommend suitable technologies for enterprise data platforms.

Dice Id: 91135323
Position Id: 9112609
Posted 9 hours ago

Fitment