Data Engineer - ETL Pipelines & Data Processing

Data Engineer - ETL Pipelines Data Processing

We are seeking a skilled Data Engineer with a strong background in building efficient, high-quality, and scalable ETL data pipelines and data-oriented products. This role requires deep expertise in parallel computing, SQL optimization, and a solid understanding of analytical and problem-solving techniques.

Key Responsibilities:

• Design, build, and maintain efficient ETL pipelines and data products.
• Optimize and manage SQL queries to ensure peak performance.
• Leverage parallel computing and processing techniques.
• Collaborate closely with business stakeholders to deliver impactful, commercially valuable products.
• Analyze data to generate reports for various business needs, ensuring data-driven decision-making.

Qualifications:

• Mid to senior level experience, with the ability to work independently.
• Proficiency in SQL and experience in query optimization.
• Strong analytical and problem-solving skills.
• Experience with parallel computing and processing.
• Familiarity with C++, Slang, Python, Pandas, Kafka, and Hadoop is beneficial.
• Prior experience in data-focused roles within tech environments.

We Offer:

• A chance to develop professionally by working on technologically advanced projects.
• Competitive salary commensurate with skills and experience.
• A supportive work culture that fosters professional growth and development through continuous learning opportunities and career advancement programs.
• Access to cutting-edge tools and technologies which keep you at the forefront of the financial technology landscape.

We invite skilled and motivated candidates to join our esteemed banking client, a leader in the industry, as they expand their capabilities in credit risk management. If you are ready to contribute to groundbreaking projects in commercial real estate lending, we encourage you to apply for this position. Bring your expertise and innovation to a team where your efforts will make a significant impact.

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