Data Engineer (PySpark/Informatica) - Remote

Overview

We are seeking a Data Engineer to support the design, development, and maintenance of our data infrastructure, ensuring efficient data flow across systems.

In Short

• Design and maintain data processes and solutions.
• Develop data models and databases for business intelligence.
• Collaborate with IT and business teams to gather requirements.
• Monitor production schedules and report issues.
• Implement data governance practices.
• Ensure data quality and compliance with regulations.
• Provide data analysis and insights for decision-making.
• Stay updated on industry trends and technologies.
• Mentor junior data engineers.
• Participate in the software development life cycle.

Requirements

• Bachelor’s degree in Computer Science or related field.
• 3 years of experience in data engineering or ETL development.
• Proficiency in SQL and database technologies.
• Experience with data warehousing solutions.
• Hands-on experience with Python, PySpark, and Informatica.
• Knowledge of cloud platforms like GCP and Azure.
• Experience in data governance and security best practices.
• Ability to translate requirements into technical designs.
• Strong analytical skills and attention to detail.
• Ability to adapt to diverse tasks and projects.

Benefits

• Competitive salary range of $67,500 - $126,000.
• Opportunities for professional growth and development.
• Work in a collaborative and innovative environment.
• Flexible working conditions including remote work.
• Comprehensive health benefits.
• Access to cutting-edge technology and tools.
• Support for continuing education and certifications.
• Team-oriented culture with a focus on mentorship.
• Work-life balance initiatives.
• Employee wellness programs.