
Data Solutions Architect
1 day ago
Job Title:
Senior Data Engineer - Operational Excellence
About the Role:
The ideal candidate will lead the development and optimization of complex data solutions using Python, Spark, SQL, Snowflake, dbt, machine learning, and other relevant technologies.
Key Responsibilities:
- Design and develop efficient data pipelines using Python, Spark, SQL, Snowflake, dbt, and machine learning algorithms
- Apply deep domain expertise in operations organizations to understand data requirements and deliver tailored solutions
- Utilize big data processing frameworks such as Apache Spark to process and analyze large volumes of operational data
- Implement advanced data modeling and predictive analytics to derive actionable insights and drive operational decision-making
- Leverage cloud-based data platforms such as Snowflake to store, manage, and analyze structured and semi-structured operational data at scale
- Monitor and optimize complex data pipelines for performance, scalability, and reliability in operations contexts
Requirements:
- Bachelors degree in Computer Science, Engineering, Operations Management, or related field; Advanced degree preferred
- 10+ years of experience in data engineering with proficiency in Python, Spark, SQL, Snowflake, dbt, machine learning, and other relevant technologies
- Strong domain expertise in operations organizations, particularly in functions like supply chain, product life cycle management, and manufacturing
- Familiarity with dbt (Data Build Tool) for managing data transformation and modeling workflows
- Excellent problem-solving skills, analytical thinking, and attention to detail
What We Offer:
- A dynamic and collaborative work environment
- Opportunities for professional growth and development
- Competitive compensation and benefits package
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