AWS Data Engineer Job at Realign (Charlotte)

AWS Data Engineer

Join us as an AWS Data Engineer Barclays, responsible for supporting the success...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Firsthand Experience in developing, testing and maintaining applications on AWS Cloud
Strong hands‑on experience with the AWS Data Analytics stack (Amazon S3, AWS Glue, Athena, Lambda, IAM, Lake Formation, KMS, STS, and Step Functions), with a proven ability to build, test, and support secure, scalable, and well‑governed data pipelines
Firsthand experience in Airflow and PySpark and strong knowledge of Python
Design and implement scalable and efficient data transformation/storage solutions using Snowflake
Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc
Experience in using DBT (Data Build Tool) with snowflake for ELT pipeline development
Experience in Writing advanced SQL and PL SQL programs
Experience in AWS data pipeline development
HandsOn Experience for building reusable components using Snowflake and AWS Tools/Technology
Must have completed two major projects

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

AWS Data Engineer

We are seeking a detail-oriented and capable Data Engineer – AWS to join our Dat...

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Experience in data engineering or software engineering with data focus
Strong interest in cloud-based data platforms and distributed processing
Good analytical and problem-solving skills
Attention to detail and commitment to data quality and reliability
Effective communication and teamwork skills
Willingness to learn and develop in AWS and modern data engineering practices
Hands-on experience with AWS cloud services, especially AWS Glue, Python / PySpark, SQL querying and data manipulation
Exposure to YAML or configuration-driven pipelines (desirable)
Experience building or supporting data pipelines, ETL/ELT processes
Familiarity with data lakes and/or Lakehouse concepts, Distributed processing frameworks (e.g., Spark)

Job Responsibility

Support delivery across data engineering and platform development initiatives
Collaborate with architects, engineers, and stakeholders to implement data solutions on AWS
Assist in planning and executing engineering tasks, releases, and deliverables
Build and maintain data pipelines and workflows on AWS platforms
Develop ETL/ELT pipelines using AWS Glue, Python / PySpark, SQL, Configuration-driven frameworks (e.g., YAML)
Support ingestion, transformation, and processing of structured and semi-structured data
Contribute to the development of scalable, reusable data components and services
Test and validate data pipelines and processing jobs running on AWS services
Develop and execute data validation and reconciliation queries using SQL
Work with AWS services including AWS Glue, S3-based data lakes, Related data processing and orchestration services

AWS Data Engineer

Join us as an AWS Data Engineer Barclays, responsible for supporting the success...

Location

India , Pune; Chennai

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Firsthand Experience in developing, testing and maintaining applications on AWS Cloud
Strong hands‑on experience with the AWS Data Analytics stack (Amazon S3, AWS Glue, Athena, Lambda, IAM, Lake Formation, KMS, STS, and Step Functions), with a proven ability to build, test, and support secure, scalable, and well‑governed data pipelines
Firsthand experience in Airflow and PySpark and strong knowledge of Python
Design and implement scalable and efficient data transformation/storage solutions using Snowflake
Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc
Experience in using DBT (Data Build Tool) with snowflake for ELT pipeline development
Experience in Writing advanced SQL and PL SQL programs
Experience in AWS data pipeline development
HandsOn Experience for building reusable components using Snowflake and AWS Tools/Technology
Must have completed two major projects

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models
Engage stakeholders, gather requirements/user stories, and translate them into ETL components
Understand infrastructure setup and provide solutions independently or in collaboration with teams

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

AWS Data Engineer

Location

Salary:

Not provided

HiRemoters

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Information Technology, Data Engineering, or a related quantitative field
Minimum 3 years experience
Expert proficiency in PySpark for distributed data processing
Deep hands-on experience with core AWS services (S3, EMR, Glue, Athena)
Experience building and scheduling DAGs in Apache Airflow
Advanced knowledge of OLAP modeling techniques and Data Lake design patterns (Medallion architecture)
Strong skills in Python, SQL, and source control management (Git)

Job Responsibility

Architect and maintain scalable storage solutions using AWS S3 and Apache Iceberg to manage high-volume, transactional data in a data lake environment
Design and deploy robust data processing pipelines using AWS EMR or Glue with PySpark for large-scale data transformation
Follow rigorous software engineering practices, including Git-based version control, CI/CD, and peer code reviews
Implement and manage complex, automated data workflows using Apache Airflow (MWAA)
Build centralized data catalogs via AWS Glue Catalog and enable high-speed interactive querying using AWS Athena
Apply advanced Data Modeling (Star Schema, Snowflake) and manage the end-to-end data journey from Raw to Processed zones

What we offer

Flexible and Remote Working
Career Growth
Performance Recognition
Health and Fitness Benefits
Extra Paid Annual Leave
Special Birthday Perk

Parttime

AWS Data Engineer

AlgebraIT is hiring an AWS Data Engineer in Austin, Texas! If you have at least ...

Location

United States , Austin

Salary:

Not provided

AlgebraIT

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering with AWS
Proficiency in Python, SQL, and big data tools
Experience with AWS services such as Lambda and EC2
Strong communication and teamwork skills
Bachelor’s in Computer Science or similar

Job Responsibility

Develop and maintain data pipelines using AWS services
Automate data ingestion and processing workflows
Collaborate with cross-functional teams to ensure robust data solutions
Monitor and optimize data pipeline performance
Ensure data quality and implement security best practices
Integrate data from multiple sources for analytics
Implement data validation and error-handling processes
Write and maintain technical documentation for data workflows
Manage and configure cloud infrastructure related to data pipelines
Provide technical support and troubleshooting for data-related issues

Fulltime

AWS Data Engineer

We are looking for a skilled AWS Data Engineer to build and support cloud-based ...

Location

India

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

5–8 years of experience in data engineering or related roles
Hands-on experience with AWS Glue
Hands-on experience with Amazon EMR
Hands-on experience with AWS Lambda
Hands-on experience with Apache Airflow (MWAA)
Hands-on experience with Amazon EC2
Hands-on experience with Amazon CloudWatch
Hands-on experience with Amazon Redshift
Hands-on experience with Amazon DynamoDB
Hands-on experience with AWS DataZone

Job Responsibility

Develop and maintain scalable batch data pipelines on AWS
Implement ETL/ELT jobs using AWS Glue and Spark on EMR
Build and manage workflow orchestration using Apache Airflow (MWAA)
Develop serverless data processing functions using AWS Lambda
Work with Amazon Redshift for data warehousing and analytics
Implement data storage and retrieval using Amazon DynamoDB
Use AWS DataZone for data discovery, governance, and access control
Monitor data pipelines and system health using Amazon CloudWatch
Troubleshoot data processing failures and performance issues
Collaborate with analytics, reporting, and business teams

Fulltime

AWS Data Engineer

We are looking for a highly skilled and experienced AWS Data Engineer to design,...

Location

India

Salary:

Not provided

Vidushi Infotech SSP Pvt. Ltd.

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in Data Engineering, with a proven track record of creating high-impact data pipelines and assets
4+ years of strong, hands-on programming experience with PySpark, Python, and Boto3, including expertise in Python frameworks and libraries, adhering to best practices
Deep knowledge of Code Versioning practices, including Git Repositories and experience with artifact management tools like JFrog Artifactory
Solid practical knowledge of AWS Architecture and its core data services
A true commitment to clean code, testability, and engineering best practices

Job Responsibility

Architecting Data Pipelines: Design, build, and maintain highly scalable and efficient data pipelines using cutting-edge AWS services
Driving Code Excellence: Perform significant Code Refactoring on a legacy codebase—cleaning, modernizing, and improving readability and long-term maintainability
Mastering Optimization: Apply your deep understanding of Spark SQL and PySpark to continuously optimize code for performance and cost efficiency
Embracing Quality: Champion Test-Driven Development (TDD) and meticulous Unit Testing to ensure functionality, catch bugs early, and maintain a high bar for code quality
Solving the Toughest Challenges: Dive into complex systems to debug and resolve difficult bugs related to performance, concurrency, or intricate logic flaws
Collaborating on Cloud Architecture: Leverage and explain the benefits of key AWS services like S3, EC2, Lambda, Redshift, and CloudFormation to build robust solutions

Fulltime

AWS Data Engineer

About the Role: Key Responsibilities: Architect and implement scalable, secure, ...

Location

India , Bengaluru

Salary:

Not provided

Cigres

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
5–8 years of experience in data engineering, including at least 3 years of hands-on expertise with AWS Big Data platforms
Proficiency in Python, SQL, Spark, and various AWS data services
Strong understanding of data architecture, data modeling, and data warehousing concepts
Experience in DevOps practices and tools, including CI/CD, monitoring, and infrastructure-as-code (IaC)
Hands-on experience with key AWS services: Glue, S3, Redshift, Lambda, CloudWatch, IAM
Experience with CI/CD tools and IaC technologies such as Terraform or CloudFormation
Proficiency with Git for version control and collaborative development

Job Responsibility

Architect and implement scalable, secure, and cost-effective data platforms on AWS
Lead the development of complex ETL/ELT pipelines and data workflows
Define, standardize, and enforce data engineering best practices and coding standards
Collaborate closely with data scientists, analysts, and business stakeholders to deliver data-driven solutions
Conduct code reviews to ensure high-quality, maintainable deliverables
Optimize data workflows for performance, scalability, and cost-efficiency
Ensure strong data quality, governance, and security across all data environments
Work with cross-functional teams to gather, analyze, and refine data requirements
Monitor, maintain, and troubleshoot data pipelines and associated infrastructure

Fulltime

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