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Position Overview:
We are seeking a highly skilled Energy and Power Market Data Tech Lead to join our client's dynamic team. The ideal candidate will be proficient in Python programming and possess a deep understanding of energy markets, including energy price and fundamental data. The Market Data Tech Lead will play a pivotal role in developing and maintaining data scrapers, testing frameworks, and quality assurance processes to ensure the accuracy and reliability of datasets.
Responsibilities:
Qualifications:
Market Data Tech Lead
2024-04-16
2024-08-26
Employment Type:
Direct
Category: Technical Analyst
Job Number: 18470
Work Model: #LI-Onsite
Internal Reference: #LI-DY1
Job Description
Position Overview:
We are seeking a highly skilled Energy and Power Market Data Tech Lead to join our client's dynamic team. The ideal candidate will be proficient in Python programming and possess a deep understanding of energy markets, including energy price and fundamental data. The Market Data Tech Lead will play a pivotal role in developing and maintaining data scrapers, testing frameworks, and quality assurance processes to ensure the accuracy and reliability of datasets.
Responsibilities:
- Lead the development and implementation of market data scrapers to collect energy price and fundamental data from various sources.
- Design and maintain testing frameworks to conduct thorough quality checks on datasets, ensuring accuracy and consistency.
- Collaborate with cross-functional teams, including traders, analysts, and developers, to understand data requirements and deliver tailored solutions.
- Monitor data integrity and performance, troubleshooting issues and implementing optimizations as needed.
- Stay informed about market trends, regulatory changes, and emerging technologies in the energy sector to drive innovation and enhance our competitive advantage.
- Mentor junior team members, providing guidance and support to foster their professional growth and development.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Finance, or a related field; advanced degree preferred.
- Minimum of 5 years of experience in Python programming with a strong emphasis on data manipulation and analysis.
- Extensive knowledge of energy markets, including experience with energy price and fundamental data.
- Proven track record of developing and maintaining data scrapers for real-time and historical data collection.
- Solid understanding of testing methodologies and experience with testing frameworks (e.g., PyTest, unittest) for data validation and quality assurance.
- Strong problem-solving skills and attention to detail, with the ability to identify and resolve complex issues in a fast-paced environment.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and stakeholders.
- Experience in commodity trading or financial services
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