About the Role
As a member of the Identity team within Data Engineering, you’ll be an Analytics Engineer, building and enhancing critical data pipelines, datasets, and self-service tools for the Identity domain. You’ll play a crucial role in enabling data-driven decision-making for various product and engineering teams, contributing to the success of our global platform.
Identity is a foundational domain, touching every aspect of our business. Your work will directly impact how members and partners interact with our service, ensuring a seamless and secure experience.
What you’ll do
- Build and enhance critical data pipelines, datasets, and self-service tools for the Identity domain.
- Work closely with data engineers, product managers, and business stakeholders to understand data needs, define metrics, and deliver impactful data solutions.
- Apply your expertise in data modeling, ETL processes, and data visualization to translate complex business requirements into scalable and reliable data products.
- Collaborate with other analytics engineers and data scientists to establish best practices, improve data quality, and foster a data-driven culture.
- Mentor and provide technical guidance to junior team members, fostering their growth and development.
Who you are
- Minimum 5+ years of experience in data engineering, analytics engineering, or a related field.
- Proficiency in SQL and experience with data warehousing concepts (e.g., Snowflake, BigQuery, Redshift).
- Experience with building and optimizing large-scale ETL pipelines using tools like Spark, Flink, or Airflow.
- Strong understanding of data modeling principles and experience designing robust, scalable data schemas.
- Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI) and a passion for creating intuitive self-service dashboards.
- Excellent communication and collaboration skills, with the ability to translate technical concepts to non-technical stakeholders.
- Ability to work independently, prioritize tasks effectively, and thrive in a fast-paced, dynamic environment.
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field.
- Preferred: Experience with Scala or Python.
- Preferred: Experience with A/B testing and experimentation.
- Preferred: Experience with data governance and data quality frameworks.
Our Culture
Netflix culture is a unique blend of freedom and responsibility. We believe in giving our employees the autonomy to make decisions and take ownership of their work. We value candid communication, intellectual curiosity, and a relentless pursuit of excellence. You’ll be joining a team that is passionate about data, committed to innovation, and dedicated to delivering an exceptional experience for our members.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
