Lead Analytics Engineer

4 weeks ago


Needham, Alabama, United States SharkNinja Full time
Job Summary

The Lead Analytics Engineer will be responsible for spearheading the development and optimization of our data analytics frameworks and infrastructure. This role requires a deep understanding of DBT, Snowflake, and advanced SQL, along with expertise in ETL methodologies and orchestration tools such as Airflow and Dagster. The ideal candidate will also have a working knowledge of Python. As lead engineer, you will lead the development across one of 3 organization pillars (finance, ops or revenue). You will partner closely with the leads of each pillar to drive consistency and reusability of warehouse objects.

Key Responsibilities:

Leadership and Mentorship: Mentor members of the analytics engineering team, providing technical guidance, and support on code and projects. Foster a collaborative and innovative team environment, encouraging professional growth and development.

Strategic Planning: Define and execute the analytics engineering strategy, aligning with organizational goals and business needs. Identify opportunities for process improvements and implement best practices in data analytics and engineering.

Project Management: Oversee the design, development, and maintenance of scalable and efficient data models using DBT and Snowflake. Manage multiple projects simultaneously, ensuring timely delivery and adherence to high-quality standards. Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions and insights.

Technical Implementation: Develop and optimize SQL queries and scripts for data transformation and aggregation. Implement and manage ETL processes, ensuring data accuracy and integrity. Lead the design and implementation of data orchestration workflows using tools such as Dagster or Airflow. Build out automated AI workflows using LLMs like ChatGPT, integrating advanced AI capabilities into data processes. Ensure compliance with data governance and security policies.

Requirements:

4+ years of proven experience as a Lead Analytics Engineer, with a strong portfolio of successful data projects. Expert knowledge of SQL and database management systems, particularly Snowflake. Extensive experience with ETL methodologies and data modeling. Proficient in orchestration tools like Airflow and Dagster. Hands-on experience with GIT for version control. Programming skills in Python and familiarity with data pipeline development are highly desirable. Excellent problem-solving skills and the ability to work independently or as part of a team. Extensive data modeling experience. Strong communication skills, both verbal and written. Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Advanced degrees or professional certifications related to data engineering are preferred.

About SharkNinja

At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.

Our Culture

We believe in a culture of continuous learning and improvement. We encourage our team members to take ownership of their work, share their ideas, and collaborate with others to drive innovation and excellence. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed.

How to Apply

SharkNinja is an equal opportunities employer and welcomes applications from all qualified candidates. If you are passionate about data engineering and analytics, and want to be part of a dynamic and innovative team, please submit your application. We look forward to hearing from you.

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