We are seeking a skilled and detail-oriented Data Engineer to join our engineering team and contribute to the development of robust data pipelines and data models. The ideal candidate will have expertise in building ETL workflows preferably in a cloud environment, experience designing data models for visualization tools such as Tableau, and a solid understanding of data visualization principles. This role involves collaboration with cross-functional teams, including product management, development, professional services, customer support, and data science, to deliver high-quality, scalable data solutions.

In Short

Design, develop, and maintain scalable ETL pipelines for data ingestion and integration.
Create and optimize data models for efficient querying and reporting.
Collaborate with developers and data scientists for seamless data workflow integration.
Build and maintain Tableau dashboards for actionable insights.
Monitor and enhance the performance of data pipelines and models.
Work with cross-functional teams to gather requirements and troubleshoot issues.
Ensure compliance with data governance and security standards.
Maintain documentation of ETL processes and data models.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
3 years of experience in data engineering with ETL workflows in cloud environments.
Proficiency in SQL and experience with database systems like PostgreSQL and MySQL.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with data modeling techniques and best practices.
Experience with Tableau or other data visualization tools.
Strong programming skills in Python, Java, or Scala.
Solid understanding of data warehousing concepts and big data technologies.
Excellent problem-solving skills focused on performance optimization.