Data Engineer

About the role

We are seeking an AWS Data Engineer with expertise in big data processing, cloud-native data engineering, and streaming architectures.

The ideal candidate should possess strong experience building enterprise data platforms using AWS analytics services.

Tasks

• Develop scalable AWS data pipelines.
• Build ETL jobs using AWS Glue.
• Develop PySpark applications on EMR.
• Design Redshift data warehouse solutions.
• Develop streaming pipelines using Kafka.
• Build data orchestration workflows using Airflow.
• Optimize cloud data processing.
• Develop REST APIs for data services.
• Implement data quality monitoring.

Requirements

• Looking for W2 candidates. No C2C
• Required Skills: AWS Glue, Amazon EMR, Redshift, Athena, S3, Python, PySpark, SQL, Kafka, Apache Airflow, Docker, Git
• Preferred Skills: Snowflake, dbt, Iceberg, Delta Lake, Lambda, Step Functions
• Mandatory Skills: AWS Glue, EMR, Redshift, PySpark, SQL, Kafka, Airflow, S3, ETL, Python

Schedule

• Contract: 12+ Months

How to apply

• Contact by phone or email.

Location

• Phoenix, AZ, St. Louis, MO, Nashville, TN, Kansas City, KS, Denver, CO