Job Description

We are looking for Data Engineer Tech Lead to join our team and help drive our data strategy and architecture. With a growth mindset, a pragmatic, can-do attitude, and an uncompromising approach to engineering excellence, you'll play a crucial role in designing and implementing data pipelines that support our security analytics.

It goes without saying (but we’ll say it anyway) that each person who joins us is a huge part of our success and culture, so we’re looking for an awesome teammate who will not only be a skilled engineer but will be fun to talk nonsense with at the office, go out to happy hour with, and debate technical challenges.

We're looking for a creative, analytical professional with a knack for understanding complex systems and a passion for uncovering the intricacies of how things work. If you thrive on curiosity, innovation, and the challenge of dissecting problems to their core, you could be a great fit for our team.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and architectures for ingesting and processing data.
Collaborate with data scientists and data analysts to support data-driven decision-making and develop data products.
Optimize and improve data flow and collection processes to ensure high data quality and performance.
Implement and monitor data processes to ensure data integrity and availability.
Work with cross-functional teams to identify and implement new data solutions that meet the organization's evolving needs.
Stay updated on emerging technologies and industry trends to enhance our data engineering practices.
Lead the design and development of core data models to support scalability and business objectives.

Requirements

5+ years of experience in data engineering, data architecture, or a related field.
Extensive experience with data warehousing solutions and ETL tools.
Strong understanding of database technologies (SQL and NoSQL).
Strong knowledge of data modeling principles
⁠Extensive Experience with Data Transformation Tools (e.g., DBT, AWS Glue).
Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
Experience with Workflow Orchestration Tools (e.g., Airflow).
Experience with big data technologies (e.g., Apache Spark).

It will be great if you also have the following:

Experience with Snowflake
Experience with AI concepts and data preparation for model training.
Knowledge of data governance and security best practices.

Senior Data Engineer