Remote Data Engineer: PySpark, Databricks & Redshift

Akaasa Technologies; Chicago (IL); On-site; USD 83,000 - 152,000; Full time

Job summary

Akaasa Technologies is seeking a Data Engineer with strong PySpark, Databricks, and AWS Redshift experience to support data engineering and analytics initiatives. You will design and optimize scalable data pipelines in a cloud environment.

The role focuses on building and maintaining ETL/ELT processes, data transformations, and performance optimizations for large datasets. Remote option with local Chicago candidates considered.

Qualifications

• Strong hands-on experience with PySpark and Python for data engineering and transformation.
• Extensive experience with Databricks, including data processing and pipeline development.
• Strong experience with AWS Redshift and cloud data warehousing.

Skills

PySpark

Python

Databricks

AWS Redshift

ETL/ELT data pipelines

Data processing

Job description

Akaasa Technologies is seeking a Data Engineer with strong PySpark, Databricks, and AWS Redshift experience to support data engineering and analytics initiatives. You will design and optimize scalable data pipelines in a cloud environment.

The role focuses on building and maintaining ETL/ELT processes, data transformations, and performance optimizations for large datasets. Remote option with local Chicago candidates considered.