Data Engineer

CYNET SYSTEMS INC.

Columbus, GA, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$99,840.0 - $110,240.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Query Performance Agile Methodology Artificial Intelligence Big Data Software Quality Continuous Integration Information Engineering Data Integration Extract Transform Load (ETL) Data Mining Data Systems Data Warehousing

+23 more

Programming Tools Python (Programming Language) PostgreSQL Performance Tuning Query Optimization Cloud Services Shell Script Software Deployment PL-SQL SQL Databases Cloud Platform System GitHub Copilot Snowflake Database Optimization Generative AI Git Amazon Relational Database Service Pyspark Information Technology Bitbucket Virtual Agents Data Pipelines Databricks

Job description

Design, develop, test, and maintain ETL/data pipeline solutions.
Build scalable data processing workflows using Python and PySpark.
Develop and optimize SQL/PLSQL scripts for data extraction, transformation, and loading.
Design and maintain data warehouse architectures and data models.
Perform performance tuning and query optimization for large datasets.
Work with Databricks, Snowflake, and PostgreSQL environments.
Manage source code repositories using Bitbucket and follow CI/CD best practices.
Leverage AI-powered development tools to improve productivity and code quality.
Collaborate with business stakeholders, data analysts, and cross-functional teams to deliver data solutions.
Create technical documentation and support production deployments.

Requirements

Strong experience in ETL development and data engineering.
Hands-on experience with SQL, Python, and PySpark.
Experience in data warehousing and database performance tuning.
Knowledge of cloud-based data platforms and modern data engineering practices.
Strong analytical, troubleshooting, and problem-solving skills.
Experience with SQL & PL/SQL Development.
Experience with Python Programming and PySpark.
Knowledge of ETL Development and Data Integration.
Understanding of Data Warehousing Concepts and Development.
Experience with Query Performance Tuning and Optimization.
Experience with Bitbucket/Git Version Control.
Experience leveraging AI tools such as GitHub Copilot and Windsurf., * Experience with Databricks and Snowflake.
Exposure to AI Agent development and Generative AI technologies.
Experience working in Agile development environments.
Knowledge of AWS cloud services and PostgreSQL database administration.
Experience with Shell Scripting.

Skills:

SQL.
PL/SQL.
Python.
PySpark.
ETL.
Data Warehousing.
Query Optimization.
Bitbucket.
Git.
GitHub Copilot.
Windsurf.
Databricks.
Snowflake.
PostgreSQL.
AWS RDS.
AI Agents.
Shell Scripting.

Qualification And Education:

Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.

Benefits & conditions

Our Benefits Include:

Medical, Dental, and Vision Insurance
401(k) Retirement Plan
Health Savings Account (HSA)
Disability Insurance (Short-Term and Long-Term)
Life and AD&D Insurance
Paid Sick Leave (where required by applicable state or local law)
Supplemental Insurance Plans
Identity Theft Protection
Pet Insurance
Employee Wellness Programs
Employee Assistance Program (EAP)
Career Growth and Professional Development Opportunities

About the company

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.