Cloud Data Engineer: AWS, Databricks & PySpark Pipelines

Advanced Tech Placement

Atlanta (GA)

On-site

USD 120,000 - 150,000

Full time

2 days ago

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Job summary

Advanced Tech Placement seeks a Data Engineer to design, build, and optimize scalable cloud-based data pipelines and infrastructure. The role focuses on production-ready data solutions using AWS, Databricks, PySpark, SQL, and Python to support analytics, reporting, and business intelligence.

Responsibilities include designing and maintaining pipelines, ETL/ELT, data warehousing, Spark optimization, and CI/CD practices.

Qualifications

Bachelor's or Master's degree in Computer Science, Statistics, Analytics, or related field.
3-5+ years of hands-on Data Engineering experience.
Strong experience with AWS, Databricks, PySpark, Python, and SQL.
Experience building and supporting production data pipelines.
Strong understanding of ETL/ELT, data modeling, and data warehousing.
Experience with SQL query optimization, Spark performance tuning, and CI/CD.
Strong troubleshooting, problem-solving, and communication skills.

Responsibilities

Design, develop, and maintain scalable cloud-based data pipelines using AWS, Databricks, PySpark, Python, and SQL.
Build and optimize ETL/ELT processes, data models, and data warehousing solutions.
Optimize Spark and SQL workloads for performance, reliability, and cost efficiency.
Monitor, troubleshoot, and support production data pipelines.
Implement CI/CD, automated deployments, unit testing, and code quality standards.
Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
Document technical designs, data flows, and processes.