Description:

Orita is seeking a talented Senior Data Engineer to handle massive amounts of data efficiently and reliably.
The role involves unifying the data pipeline with an event taxonomy and normalization layer to ensure high-quality data for machine learning models.
You will be part of a team of engineers, reporting to the Director of Data, Will Goldstein.
Responsibilities include designing and building scalable and reliable data pipelines, developing workflows using Airflow and dbt, and collaborating with data scientists and machine learning engineers.
The position requires optimizing data retrieval, ensuring data quality and security, implementing ETL/ELT processes, and monitoring data pipelines for performance.

Requirements:

Proven experience as a Data Engineer with a strong track record in data-intensive environments.
A minimum of 5 years of experience in data engineering.
Expertise in Python and SQL for data processing and manipulation.
Hands-on experience with big data tools and comfort with async Python.
Proficiency with DAG tools such as Airflow, dbt, or Dagster.
Experience in building and optimizing data pipelines, architectures, and data sets.
Strong understanding of data modeling, data warehousing, and ETL/ELT development.
Familiarity with cloud platforms like AWS, GCP, or Azure, and experience deploying data solutions in the cloud.
Knowledge of dev-ops best practices, container technologies, and continuous integration.
Strong analytical and problem-solving skills with attention to detail and excellent communication skills.
A strong sense of responsibility and ownership, with a bias for solving problems and shipping impactful features.

The position offers the flexibility of remote work with occasional in-person meetings.
Orita promotes a culture of innovation and collaboration, allowing you to have a significant impact on the product and company culture.
The company values diversity and is an Equal Opportunity Employer, ensuring a fair hiring process for all applicants.