Programmer/Developer

Elite WorkForce • Nashville, TN

1d

About The Position

We are seeking a skilled Data Engineer with expertise in Python, SQL, ETL/ELT processes, and Google Cloud Platform (GCP) to join our team. The ideal candidate will have a strong background in data manipulation, backend data preparation, and integration, with experience in CI/CD and cloud-based data platforms. This role requires proficiency in optimizing SQL queries, building data pipelines, and leveraging GCP services to support business intelligence and analytics functions.

Requirements

• 4-6 years of experience with Python scripting for data manipulation and processing.
• 4-6 years of SQL development experience, with strong skills in query optimization and backend data preparation.
• 4-6 years of experience with ETL/ELT processes, including familiarity with Informatica or similar tools.
• 1-3 years of experience with CI/CD tools and practices.
• Proficiency in GCP, specifically with BigQuery and Dataflow.
• Languages: Python, SQL.
• Tools: GCP (BigQuery, Dataflow), CI/CD tools, ETL/ELT tools (Informatica preferred).

Nice To Haves

• Experience in a cloud-based environment, with a focus on Google Cloud Platform.
• Strong analytical skills with the ability to troubleshoot and optimize complex data processes.
• Exposure to business intelligence tools such as Tableau and Power BI.

Responsibilities

• Utilize Python for data manipulation and processing tasks, enabling efficient data extraction, transformation, and loading.
• Develop, optimize, and maintain Python scripts for automated data workflows.
• Create and optimize SQL queries for data integration, backend data preparation, and reporting.
• Ensure efficient SQL performance for seamless integration with visualization tools like Tableau and Power BI.
• Manage, troubleshoot, and improve SQL-based data structures and databases.
• Design and manage ETL/ELT processes, including data extraction, transformation, and loading, using tools such as Informatica (preferred but not required).
• Implement scalable data pipelines to support robust data processing and analytics.
• Leverage GCP services, particularly BigQuery and Dataflow, to manage and transform large datasets.
• Build cloud-based data solutions to support scalable, high-performance data storage and processing.
• Participate in CI/CD practices to streamline code deployment and data pipeline updates.
• Collaborate with the development team to ensure data solutions align with business and technical requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed