Data Engineer

Overview

On Site
$50 - $60
Full Time

Skills

Google Cloud
SQL
Python
Google Cloud Platform
BigQuery
Data Engineer

Job Details

Position: Data Engineer

Location: Alpharetta, GA (Onsite) (In person interview)

Preference: Need Local to GA

Job Description: We are seeking an experienced Data Engineer with a strong background in Python, Google Cloud Platform, SQL, and BigQuery to join our dynamic team.

Key Responsibilities:

  • Design, build, and maintain scalable and reliable data pipelines to process large volumes of data.
  • Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) processes.
  • Work with BigQuery to manage and analyze large datasets, ensuring high performance and efficiency.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
  • Implement data validation and quality checks to ensure data integrity and accuracy.
  • Monitor and troubleshoot data pipelines and workflows to resolve any issues and ensure smooth operation.
  • Stay updated with the latest trends and technologies in data engineering and apply best practices.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer.
  • Strong proficiency in Python for data processing and automation.
  • Advanced SQL skills, with experience in writing complex queries and optimizing performance.
  • Hands-on experience with BigQuery for data storage, processing, and analysis.
  • Familiarity with data warehousing concepts and data modeling.
  • Experience with cloud platforms (e.g., Google Cloud Platform, AWS, Azure).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and the ability to work effectively in a team-oriented environment.

Preferred Skills:

  • Experience with other data processing tools and frameworks such as Apache Beam, Apache Spark, or similar.
  • Knowledge of data governance and data security best practices.
  • Familiarity with CI/CD pipelines and version control systems (e.g., Git).
  • Google Cloud Platform.

For immediate consideration, please contact:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.