AWS Data Engineering

Artificial Intelligence Technologies LLC; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Artifintech is seeking a Senior ETL Developer to design, build, and optimize enterprise-scale data pipelines within the AWS ecosystem, leveraging Python and PySpark on large datasets.

You will implement robust ETL processes with AWS Glue, S3, Redshift, Lambda, and Step Functions; write advanced SQL; and ensure data quality, profiling, and scheduling while embracing CI/CD using Harness, YAML, and CloudFormation.

Qualifications

• 6+ years of ETL development and data integration experience.
• Strong SQL proficiency with complex query optimization.
• 3–4 years using Python/PySpark on large-scale datasets.
• 3–4 years of hands-on AWS experience (Glue, S3, Redshift, Lambda, Step Functions, RDS, CloudWatch, SNS, SQS, EventBridge).
• 3+ years in Big Data processing and scalable data architectures.
• DevOps/CI/CD experience with Harness, YAML, and CloudFormation.

Responsibilities

• Design, develop, implement, and optimize enterprise ETL pipelines and data processing solutions.
• Build scalable data pipelines using AWS Glue, Python, PySpark, and SQL.
• Develop complex SQL queries, stored procedures, and data transformation workflows.
• Collaborate with architects, developers, and stakeholders to deliver enterprise data solutions.
• Provide production support and root-cause analysis for ETL processes.
• Maintain coding standards and ETL development best practices.

Skills

ETL

SQL

Python

PySpark

AWS Glue

AWS services

Data modeling

CI/CD

Tools

Harness

AWS CloudFormation

Yaml

Apache Iceberg

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.