JOB OVERVIEW
As a Senior Data Engineer, you will play a critical role in helping the organization leverage data and technology to drive business growth, customer engagement, and data-driven decision-making. The primary responsibilities will be building, managing, and optimizing data pipelines as well as AI tools effectively into production for critical data and analytics consumers like business/data analysts, data scientists, or any persona needing curated data for data and analytics use cases across the enterprise.
ROLES AND RESPONSIBILITIES
- Design and maintain data architecture using Snowflake, Azure, and Python for robust data solutions.
- Develop and optimize ELT/ETL workflows with Python, SQL, and Spark for data accuracy and scalability.
- Development and deployment of data-driven solutions, supporting Gen AI and AI applications.
- Apply software engineering principles to build scalable, maintainable data and application solutions.
- Collaborate with cross-functional teams to define business requirements and architect data solutions.
- Ensure compliance with data privacy regulations and best practices.
- Implement DevOps processes to automate deployment and testing of data pipelines and software.
- Stay current on data engineering, Gen AI, and marketing technology trends, recommending adoption.
- Deliver high-quality, scalable solutions in an Agile environment, meeting deadlines and budgets.
TECHNICAL COMPETENCIES (Knowledge, Skills & Abilities)
- Expert in Snowflake pipelines for data workloads in Azure or AWS.
- Strong data modeling skills for designing efficient, scalable database structures.
- Knowledge of AI platforms.
- Strong software engineering skills, including React, JavaScript, tools (Node.js, Git, Webpack).
- Advanced Python fluency for data engineering and SQL expertise for data optimization.
- Excellent communication skills.
- Self-motivated, results-oriented, data excellence-focused.
EDUCATION AND EXPERIENCE
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field; Master's degree preferred.
- 8-10 years of experience in data engineering, with a focus on designing and building data pipelines and architecture.
- 8-10 years of hands-on experience with Snowflake, Azure, and Python in data solutions.
- Proven track record in software engineering, with experience in React and modern development tools.
- Demonstrated leadership in delivering scalable, data-driven solutions in an Agile environment.
