Senior Data Analytics Engineer: AWS PySpark Expert

Revel IT; Columbus (OH); On-site; USD 100,000 - 130,000; Full time

Job summary

A data solutions company is seeking an Analytics Data Engineer with deep expertise in building scalable data solutions on the AWS platform. Ideal candidates have at least 5 years of experience in data engineering and are 10/10 experts in Python and PySpark. Responsibilities include designing and developing data pipelines and collaborating closely with business stakeholders. The role requires strong skills in AWS services and a deep understanding of data warehousing and ETL processes. This position is suited for someone aiming to contribute significantly to enterprise decision-making.

Qualifications

• 5+ years of experience in data engineering, analytics engineering, or full-stack data development.
• Strong understanding of AWS services like Glue, EMR, and Redshift.
• Demonstrated experience with data warehousing, ETL/ELT, and data modeling.

Responsibilities

• Design and optimize scalable data ingestion pipelines using Python and AWS.
• Develop and maintain data transformation and curation processes.
• Collaborate with business users to translate analytical needs into technical solutions.

Skills

Python

PySpark

SQL

Data warehousing

ETL/ELT

Data modeling

Big data ingestion

CloudFormation

Tools

AWS Glue

AWS Lambda

AWS Redshift

AWS EMR

AWS Kinesis

Tableau

Job description

A data solutions company is seeking an Analytics Data Engineer with deep expertise in building scalable data solutions on the AWS platform. Ideal candidates have at least 5 years of experience in data engineering and are 10/10 experts in Python and PySpark. Responsibilities include designing and developing data pipelines and collaborating closely with business stakeholders. The role requires strong skills in AWS services and a deep understanding of data warehousing and ETL processes. This position is suited for someone aiming to contribute significantly to enterprise decision-making.