AWS Data Engineering

Valiant Technologies LLC; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Valiant Technologies LLC in Chicago seeks an experienced Senior ETL Developer with hands-on AWS, Python, PySpark, and SQL. You will design, develop, and optimize enterprise-scale ETL pipelines and data analytics solutions within the AWS ecosystem.

Design, develop, implement, and optimize ETL pipelines using AWS Glue, Python, PySpark, and SQL; work with S3, Redshift, Lambda, and Step Functions. Collaborate with architects and stakeholders to deliver scalable data solutions.

Qualifications

• 6+ years in ETL development, data integration, transformation and scheduling.
• Strong SQL skills with complex query optimization.
• 3–4 years Python / PySpark with large-scale datasets.
• 3–4 years AWS experience (Glue, S3, Redshift, Lambda, Step Functions, RDS).
• 3+ years Big Data processing and scalable data architectures.
• Hands-on with Harness, YAML, and CloudFormation for CI/CD/Infra as code.
• Strong database troubleshooting and production support.
• Experience leading ETL or Data Engineering teams (preferred).
• Excellent analytical and communication skills.

Responsibilities

• Design, develop and optimize enterprise-scale ETL pipelines.
• Build scalable data pipelines using AWS Glue, Python, PySpark and SQL.
• Develop complex SQL queries and data transformation workflows.
• Work with AWS services including S3, Redshift, Lambda, Step Functions, RDS.
• Perform data cleansing, profiling, transformation and scheduling.
• Troubleshoot ETL failures and production incidents.
• Implement CI/CD and IaC with Harness, YAML and CloudFormation.
• Collaborate with architects, developers and stakeholders.
• Provide root cause analysis and production support.
• Maintain coding standards and ETL documentation.

Skills

ETL Development

SQL

Python / PySpark

Big Data

AWS Cloud

DevOps / CI/CD

Data Modeling

Leadership

Communication

Troubleshooting

Tools

AWS Glue

S3

Redshift

Lambda

Step Functions

RDS Aurora/MySQL

CloudWatch

SNS

SQS

EventBridge

Apache Iceberg

Dynatrace

Datadog

Harness

YAML

AWS CloudFormation

Job description

We are seeking an experienced Senior ETL Developer with strong hands-on expertise in AWS cloud services, Python, PySpark, SQL, and large-scale enterprise data processing.

The ideal candidate will be responsible for designing, developing, optimizing, and maintaining scalable ETL pipelines and data analytics solutions within the AWS ecosystem.

Key Responsibilities:

Design, develop, implement, and optimize enterprise-scale ETL pipelines and backend data processing solutions.

Build and maintain scalable data pipelines using AWS Glue, Python, PySpark, and SQL.

Develop complex SQL queries, stored procedures, and data transformation workflows.

Work with AWS services including S3, Redshift, Lambda, Step Functions, RDS, CloudWatch, SNS, SQS, and EventBridge.

Perform data cleansing, profiling, transformation, and workflow scheduling.

Troubleshoot ETL failures, database performance issues, and production incidents.

Implement CI/CD pipelines and Infrastructure as Code using Harness, YAML, and AWS CloudFormation.

Collaborate with architects, developers, and business stakeholders to deliver enterprise data solutions.

Perform root cause analysis and provide production support for critical ETL processes.

Maintain coding standards, technical documentation, and ETL development best practices.

Mandatory Technical Skills:

ETL Development: 6+ years of experience in ETL development, data integration, transformation, and scheduling.

SQL: 6+ years of strong experience writing and optimizing complex SQL queries.

Python / PySpark: 3–4 years of hands-on programming experience with large-scale datasets.

AWS Cloud: 3–4 years of experience with AWS Glue, S3, Redshift, Lambda, Step Functions, RDS Aurora/MySQL, CloudWatch, SNS, SQS, and EventBridge.

Big Data: 3+ years of experience in Big Data processing, data modeling, and scalable data architectures.

DevOps / CI/CD: Hands-on experience with Harness, YAML, and AWS CloudFormation.

Database Troubleshooting: Strong understanding of RDS MySQL, database performance tuning, and production support.

Preferred Skills:

Experience leading ETL or Data Engineering teams.

Hands-on experience with Apache Iceberg.

Experience with Dynatrace or Datadog.

Strong analytical, troubleshooting, and communication skills.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.