We are in search of a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will possess a strong background in data engineering, proficiency in Python programming, expertise in data modeling, and hands-on experience with Snowflake or other cloud-based data platforms. The successful candidate should be well-versed in data extract, transform, and load (ETL) processes and have a solid understanding of common data science modules such as scikit, numpy, pandas, and machine learning.
Responsibilities
- Develop and maintain scalable data pipelines for efficient data processing and analysis.
- Collaborate with cross-functional teams to understand data requirements and design appropriate solutions.
- Implement and optimize data models to support business intelligence and analytical initiatives.
- Work with cloud-based data platforms, particularly Snowflake, to ensure seamless data integration and storage.
- Conduct data profiling, cleansing, and validation to ensure data accuracy and reliability.
- Utilize Python for scripting and programming tasks related to data engineering.
- Apply expertise in ETL processes to extract, transform, and load data from various sources.
- Collaborate with data scientists to integrate machine learning models into data workflows.
- Troubleshoot and resolve data-related issues promptly.
- Stay updated on industry best practices and emerging trends in data engineering.
- Create and maintain comprehensive documentation of data sources, data pipelines, and model development processes.
Technical Expertise
- 5-6 years of experience as a Data Engineer or Data Scientist with a focus on quantitative and predictive modeling.
- Proficiency in Python for data analysis, modeling, and scripting.
- Strong SQL skills for data extraction and transformation.
- Knowledge of machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow) is preferred.
- Excellent problem-solving skills and the ability to work independently.
- Strong communication skills to present findings and insights to non-technical stakeholders.
- Attention to detail and a commitment to data quality and accuracy.
Join our team and play a crucial role in shaping our data infrastructure to drive insights and innovation across the organization. If you are passionate about leveraging data to solve complex problems and thrive in a collaborative environment, we encourage you to apply.