Data Engineer

Summary

We are seeking an experienced Data Engineer (5years of relevant experience) with a strong technical background to design, develop, and support cutting-edge data-driven solutions. The ideal candidate will bring expertise in data engineering, cloud technologies, and enterprise-scale solution development, along with exceptional problem-solving, communication, and leadership skills.

Key Responsibilities:

• Design and implement data engineering pipelines using PySpark, Palantir Foundry and Python.
• Leverage cloud technologies (AWS) to build scalable and secure solutions.
• Ensure compliance with architecture best practices and develop enterprise-scale solutions.
• Develop data-driven applications and ensure robust performance across all platforms.
• Collaborate with technology and business stakeholders to deliver innovative solutions aligned with organizational goals.
• Provide operational support for applications, systems, and infrastructure.

Qualifications:

• 5 years of experience in data engineering and ETL ecosystems with PySpark, Palantir Foundry and Python.
• Hands-on experience with cloud platforms (AWS) and related technologies.
• Strong understanding of enterprise architecture and scalable solution development.
• Background in enterprise system solutions with a focus on versatility and reliability.
• Exceptional analytical, problem-solving, and communication skills, with a collaborative work ethics.

Preferred Skills:

• Experience in the utility domain is a strong plus.
• Experience with data-driven applications in high-scale environments.
• In-depth knowledge of industry trends and emerging technologies in the data engineering landscape.
• Ability to adapt to evolving challenges in dynamic work environments.