Senior Data Engineer
1 week ago
Overview:
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will possess a strong background in data architecture, management, and integration, particularly within the energy commodities or financial services sectors. This role will involve designing robust data solutions, ensuring data quality, and implementing ETL processes to support our business objectives.
Key Responsibilities:
- Oversee the handling of large and complex data sets, ensuring data quality and reliability.
- Bring in raw data from multiple vendors, managing a significant volume of data ingestions daily.
- Design data structures that support the Data Science team in building machine learning models, with a focus on time series data.
- Work primarily with Snowflake as the main database and assist in migrating data from Oracle to Snowflake.
- Use SnapLogic to create and maintain efficient data extraction, transformation, and loading processes.
- Write and optimize data pipelines using SQL and Python.
- Partner with the Data Science team to support their data needs and analytics.
- Identify opportunities to enhance data handling and workflow efficiency.
Relevant Skills and Qualifications:
- Bachelor’s degree in STEM; advanced degree preferred.
- Proven experience in Data Engineering, particularly in managing large-scale data sets in a trading or financial services environment.
- Proficiency in SQL and Python for data pipeline development.
- Experience with Snowflake and Oracle databases; knowledge of data migration strategies is a plus.
- Familiarity with ETL tools, preferably SnapLogic or similar platforms.
- Strong analytical skills with the ability to work with complex data structures and deliver actionable insights.
- Knowledge of data modeling, data architecture, and best practices in data management.
- Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
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