AWS Data Engineer

Veriipro; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Veriipro in the United States seeks a Senior AWS Data Engineer to design, build, and optimize scalable data pipelines and modern data platforms on AWS. You will collaborate with business stakeholders, analysts, and development teams to drive enterprise data initiatives and analytics solutions.

The role focuses on ETL/ELT pipeline development, data lakes and cloud data warehouses, and ensuring data governance, security, and performance across the data lifecycle.

Qualifications

• 7+ years in Data Engineering or related roles.
• Hands-on experience with AWS services (Glue, S3, Redshift, Lambda, EMR, Athena, EC2).
• Proficiency in Python and SQL and ETL pipeline development.
• Experience with Spark, Hadoop or similar big data frameworks.
• Strong data warehousing, cloud architecture, and data modeling fundamentals.
• Experience with CI/CD, Git, and DevOps for automated deployments.
• Expertise in data security, governance, and performance tuning.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using AWS services.
• Build and manage data lakes and cloud-based data warehouses for large-scale analytics.
• Collaborate with cross-functional teams to translate data requirements into technical solutions.
• Optimize data processing performance, reliability, and security.
• Implement data integration for structured and unstructured data sources.
• Monitor, troubleshoot, and continuously improve data workflows and platforms.
• Ensure compliance with data governance, quality, and security standards.
• Support real-time and batch processing data pipelines to meet business needs.

Skills

Data engineering

Python

SQL

ETL pipelines

Big data frameworks

Cloud architecture

CI/CD / DevOps

Data governance & security

Stakeholder communication

Tools

AWS services

Glue

S3

Redshift

Lambda

EMR

Athena

EC2

Spark

Hadoop

Job description

We are seeking a Senior AWS Data Engineer with extensive experience in cloud-based data solutions. The ideal candidate will design, build, and optimize scalable data pipelines and modern data platforms on AWS. You will collaborate with business stakeholders, analysts, and development teams to drive enterprise data initiatives and support analytics solutions.

Roles & Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using AWS services.
• Build and manage data lakes and cloud-based data warehouses for large-scale data storage and analytics.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
• Optimize data processing performance, reliability, and security.
• Implement data integration solutions for both structured and unstructured data sources.
• Monitor, troubleshoot, and continuously improve existing data workflows and platforms.
• Ensure compliance with data governance, quality, and security standards.
• Support real-time and batch processing data pipelines to meet business requirements.

Mandatory Skills & Qualifications

• 7+ years in Data Engineering or related roles.
• Hands-on experience with AWS services, including Glue, S3, Redshift, Lambda, EMR, Athena, and EC2.
• Strong proficiency in Python, SQL, and ETL pipeline development.
• Experience with Spark, Hadoop, or similar big data frameworks.
• Solid understanding of data warehousing, cloud architecture, and data modeling.
• Experience with CI/CD pipelines, Git, and DevOps practices for automated deployments.
• Expertise in performance tuning, data security, and data governance best practices.
• Excellent verbal and written communication skills with strong stakeholder management capabilities.