Data Engineer - Cloud Data Pipelines & ETL

Cloud Analytics Technologies, LLC; Atlanta (GA); On-site; USD 90,000 - 140,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a Data Engineer in Atlanta to design, build, and maintain reliable data pipelines and analytics platforms. The role focuses on Python and SQL, ETL/ELT, and cloud-based data solutions. You will work closely with data analysts and business teams.

Requirements include knowledge of PySpark or Apache Spark, experience with AWS or Azure, and strong data modeling skills. This position offers an opportunity to shape scalable data infrastructure.

Qualifications

• Strong programming skills in Python and SQL, with knowledge of data warehousing, ETL, and cloud-based data platforms.
• Familiarity with Apache Spark or PySpark.
• Understanding of cloud platforms such as AWS or Azure.
• Knowledge of data modeling and data integration.

Responsibilities

• Develop and maintain scalable data pipelines using Python.
• Design and implement ETL processes for data integration.
• Write and optimize complex SQL queries.
• Perform data extraction, transformation, and loading.
• Develop data validation and quality-checking processes.
• Work with structured and unstructured datasets.
• Support data warehouse development and maintenance.
• Collaborate with data analysts and business teams.
• Strong programming knowledge in Python.
• Proficiency in SQL and database management.
• Understanding of ETL and ELT processes.
• Knowledge of data warehousing concepts.
• Familiarity with Apache Spark or PySpark.
• Understanding of cloud platforms such as AWS or Azure.
• Knowledge of data modeling and data integration.
• Strong analytical and problem-solving skills.

Skills

Python

SQL

PySpark

Apache Spark

ETL

Data warehousing

AWS

Azure

Data pipelines

Data modeling

Data integration

Tools

PySpark

Apache Spark

Job description

Cloud Analytics Technologies, LLC is seeking a Data Engineer in Atlanta to design, build, and maintain reliable data pipelines and analytics platforms. The role focuses on Python and SQL, ETL/ELT, and cloud-based data solutions. You will work closely with data analysts and business teams.

Requirements include knowledge of PySpark or Apache Spark, experience with AWS or Azure, and strong data modeling skills. This position offers an opportunity to shape scalable data infrastructure.