AWS Data Engineer — Utilities Data Pipelines & Analytics

Scalepex; Plano (TX); Remote; USD 120,000 - 150,000; Full time

Job summary

A dynamic services firm is seeking an experienced AWS Data Engineer to develop and optimize data pipelines using AWS services. The ideal candidate will have a strong background in data engineering with at least 5 years of experience, particularly in working with utilities-related datasets. Key responsibilities include designing data pipelines, implementing ETL processes, and ensuring data security compliance.

Qualifications

• Minimum of 5 years of experience in data engineering.
• Proficiency with AWS services including Step Functions, Lambda, Glue, and Redshift.
• Strong programming skills in Python for large-scale data processing.

Responsibilities

• Develop scalable data pipelines using AWS services.
• Orchestrate workflows using AWS Step Functions.
• Implement ETL/ELT processes using PySpark and Python.

Skills

AWS services proficiency

Python programming

Distributed systems expertise

Data modeling

Team collaboration

Tools

AWS Lambda

AWS Glue

PySpark

Pandas

AWS Redshift

Job description

A dynamic services firm is seeking an experienced AWS Data Engineer to develop and optimize data pipelines using AWS services. The ideal candidate will have a strong background in data engineering with at least 5 years of experience, particularly in working with utilities-related datasets. Key responsibilities include designing data pipelines, implementing ETL processes, and ensuring data security compliance.