
Data Engineer
4 days ago
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.
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