Amazon S3 Engineer Job at Realign (Charlotte, NC / Plano, TX)

New

Amazon S3 Engineer

Role: Amazon S3 Engineer Location: Charlotte, NC / Plano, TX FTE only Job Des...

Location

United States , Plano; Charlotte

Salary:

125000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Amazon Data Engineer
AWS Data Engineer
Amazon S3
Shell Scripting
Autosys
Minimum 10 years experience
Amazon S3: Data storage, retrieval, and management
scripting for ETL data transfer
advanced features including versioning, lifecycle policies, access controls, and server-side encryption
automation of data movement using Python, Shell, or similar languages

Job Responsibility

Design, develop, and execute Data Pipelines and test cases to ensure data integrity and quality
Develop, implement, and optimize data pipelines that integrate Amazon S3 for scalable data storage, retrieval, and processing within ETL workflows
Leverage Amazon S3 for data storage, retrieval, and management within ETL workflows, including the ability to write scripts for data transfer between S3 and other systems
Utilize Amazon S3's advanced features such as versioning, lifecycle policies, access controls, and server-side encryption to ensure secure and efficient data management
Write, maintain, and troubleshoot scripts or code (using PySpark, Shell, or similar languages) to automate data movement between Amazon S3 and other platforms, ensuring high performance and reliability
Collaborate with cross-functional teams to troubleshoot and resolve data-related issues, utilizing Amazon S3 features such as versioning, lifecycle policies, and access management
Document ETL processes, maintain technical documentation, and ensure best practices are followed for data stored in Amazon S3 environments
Familiarity with Hadoop or Spark is often preferred
Validate HiveQL, HDFS file structures, and data processing within the Hadoop cluster
Strong analytical and troubleshooting skills

Fulltime

Amazon S3 Engineer

Role: Amazon S3 Engineer. FTE only.

Location

United States , Charlotte, NC / Plano, TX

Salary:

125000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Amazon Data Engineer
AWS Data Engineer
Amazon S3
Shell Scripting
Autosys
Minimum 10 years experience
PySpark
SQL
Oracle
Banking knowledge

Job Responsibility

Design, develop, and execute Data Pipelines and test cases to ensure data integrity and quality
Develop, implement, and optimize data pipelines that integrate Amazon S3 for scalable data storage, retrieval, and processing within ETL workflows
Leverage Amazon S3 for data storage, retrieval, and management within ETL workflows, including the ability to write scripts for data transfer between S3 and other systems
Utilize Amazon S3's advanced features such as versioning, lifecycle policies, access controls, and server-side encryption to ensure secure and efficient data management
Write, maintain, and troubleshoot scripts or code (using PySpark, Shell, or similar languages) to automate data movement between Amazon S3 and other platforms, ensuring high performance and reliability
Collaborate with cross-functional teams to troubleshoot and resolve data-related issues, utilizing Amazon S3 features such as versioning, lifecycle policies, and access management
Document ETL processes, maintain technical documentation, and ensure best practices are followed for data stored in Amazon S3 environments
Validate HiveQL, HDFS file structures, and data processing within the Hadoop cluster
Knowledge in Metadata dependent ETL process and batch/job framework

Fulltime

New

Amazon S3 Engineer

Role: Amazon S3 Engineer Location: Charlotte, NC / Plano, TX FTE only Job Des...

Location

United States , Charlotte

Salary:

125000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Primary Skil: Amazon Data Engineer
Secondary: AWS Data Engineer, Amazon S3, Shell Scripting, Autosys
Experience: Minimum 10 years
Must Have Technical/Functional Skills
Domain: Banking knowledge, Payment’s knowledge preferred

Job Responsibility

Design, develop, and execute Data Pipelines and test cases to ensure data integrity and quality
Develop, implement, and optimize data pipelines that integrate Amazon S3 for scalable data storage, retrieval, and processing within ETL workflows
Leverage Amazon S3 for data storage, retrieval, and management within ETL workflows, including the ability to write scripts for data transfer between S3 and other systems
Utilize Amazon S3's advanced features such as versioning, lifecycle policies, access controls, and server-side encryption to ensure secure and efficient data management
Write, maintain, and troubleshoot scripts or code (using PySpark, Shell, or similar languages) to automate data movement between Amazon S3 and other platforms, ensuring high performance and reliability
Collaborate with cross-functional teams to troubleshoot and resolve data-related issues, utilizing Amazon S3 features such as versioning, lifecycle policies, and access management
Document ETL processes, maintain technical documentation, and ensure best practices are followed for data stored in Amazon S3 environments
Familiarity with Hadoop or Spark is often preferred
Validate HiveQL, HDFS file structures, and data processing within the Hadoop cluster
Strong analytical and troubleshooting skills

Fulltime

Senior Data Architect

We are seeking a highly experienced Senior Data Architect with 12+ years of expe...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

12+ years of experience in Data Engineering and Data Architecture
Proven experience working as a Data Architect on large-scale AWS platforms
Strong experience designing enterprise data lakes and data warehouses
Hands-on experience with batch data processing and orchestration frameworks
Excellent communication and stakeholder management skills
Ability to work onsite in Dubai, UAE
AWS Glue (ETL, Data Catalog)
Amazon EMR (Batch Processing)
AWS Lambda (Serverless Data Processing)
Amazon MWAA (Apache Airflow)

Job Responsibility

Design and own end-to-end AWS data architecture for enterprise platforms
Define data architecture standards, best practices, and reference models
Architect batch and event-driven data pipelines using AWS native services
Lead data ingestion, transformation, and orchestration workflows
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift
Design NoSQL data solutions using Amazon DynamoDB
Implement data governance, metadata management, and access control using AWS DataZone
Ensure monitoring, logging, and observability using Amazon CloudWatch
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions

Fulltime

Data Architect

We are seeking a highly experienced Data Architect with 12+ years of experience ...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

12+ years of experience in Data Engineering and Data Architecture
Proven experience working as a Data Architect on large-scale AWS platforms
Strong experience designing enterprise data lakes and data warehouses
Hands-on experience with batch data processing and orchestration frameworks
Excellent communication and stakeholder management skills
Ability to work onsite in Dubai, UAE
AWS Glue (ETL, Data Catalog)
Amazon EMR (Batch Processing)
AWS Lambda (Serverless Data Processing)
Amazon MWAA (Apache Airflow)

Job Responsibility

Design and own end-to-end AWS data architecture for enterprise platforms
Define data architecture standards, best practices, and reference models
Architect batch and event-driven data pipelines using AWS native services
Lead data ingestion, transformation, and orchestration workflows
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift
Design NoSQL data solutions using Amazon DynamoDB
Implement data governance, metadata management, and access control using AWS DataZone
Ensure monitoring, logging, and observability using Amazon CloudWatch
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions

Fulltime

Data Architect

We are seeking a highly experienced Data Architect with 14–16+ years of expertis...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

14–16+ years of experience in Data Engineering and Data Architecture
Proven experience working as a Data Architect on large-scale AWS platforms
Strong experience designing enterprise data lakes and data warehouses
Hands-on experience with batch data processing and orchestration frameworks
Excellent communication and stakeholder management skills
Ability and willingness to work onsite in Dubai, UAE (relocation required if outside UAE)
AWS Glue (ETL, Data Catalog)
Amazon EMR (Batch Processing)
AWS Lambda (Serverless Data Processing)
Amazon MWAA (Apache Airflow)

Job Responsibility

Design and own end-to-end AWS data architecture for enterprise platforms
Define data architecture standards, best practices, and reference models
Architect batch and event-driven data pipelines using AWS native services
Lead data ingestion, transformation, and orchestration workflows
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift
Design NoSQL data solutions using Amazon DynamoDB
Implement data governance, metadata management, and access control using AWS DataZone
Ensure monitoring, logging, and observability using Amazon CloudWatch
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions

Fulltime

Data Engineer (AWS)

Fyld is a Portuguese consulting company specializing in IT services. We bring hi...

Location

Portugal , Lisboa

Salary:

Not provided

Fyld

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related
Relevant certifications in AWS, such as AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified Data Analytics
Hands-on experience with AWS services, especially those related to Big Data and data analytics, such as Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Kinesis, Amazon Glue, among others
Familiarity with data storage and processing services on AWS, including Amazon S3, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Proficiency in programming languages such as Python, Scala, or Java for developing data pipelines and automation scripts
Knowledge of distributed data processing frameworks, such as Apache Spark or Apache Flink
Experience in data modeling, cleansing, transformation, and preparation for analysis
Ability to work with different types of data, including structured, unstructured, and semi-structured data
Familiarity with data architecture concepts such as data lakes, data warehouses, and data pipelines (not mandatory)
Knowledge of security and compliance practices on AWS, including access control, data encryption, and regulatory compliance

Fulltime

New

Digital Solutions Architect AWS

W2 ONLY - Digital Solutions Architect AWS. Solutions Architect will provide stra...

Location

United States , Charlotte

Salary:

80.00 - 90.00 USD / Hour

Lorien

Expiration Date

Until further notice

Requirements

Must have extensive experience designing AWS-native analytical platforms using Amazon Redshift, PostgreSQL, Amazon S3, and Apache Iceberg, paired with strong knowledge of modern BI tools including Microsoft Power BI and AWS QuickSight

Job Responsibility

Provide strategic and technical leadership for the company's enterprise analytics ecosystem, supporting a segment of the clients data portfolio through the migration of a very large on-premises SQL Server-based data warehouse to AWS
Define and govern the organization's reference data architecture, rooted in data fabric and data mesh principles, enabling scalable, performant, and governed analytics across multiple business domains
Establish architectural standards, patterns, and best practices for cloud analytics while working closely with data engineering teams to ensure high-quality implementation

Amazon S3 Engineer

Realign

Location:
United States , Charlotte, NC / Plano, TX

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 21, 2026

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