As a Data Engineer, you'll work with data processing and analytics to support business decisions. This role is ideal for someone who enjoys working with data and has a strong technical background.
In this role, you will be responsible for designing and implementing data pipelines that facilitate the collection, processing, and analysis of data. You'll work with tools like SQL and BigQuery to manage large datasets and ensure data integrity. Your expertise in Python will be crucial for automating processes and enhancing data workflows.
You will collaborate with other data professionals to optimize data storage and retrieval, ensuring that the analytics team has access to accurate and timely data. Daily tasks may include writing complex queries, maintaining data models, and troubleshooting data issues. This position suits someone who is detail-oriented and enjoys problem-solving in a data-centric environment.
Key responsibilities include: • Developing and maintaining data pipelines • Ensuring data quality and accuracy • Collaborating with analytics teams to meet data needs • Automating data processes using Python
To succeed in this role, you should have a solid foundation in SQL and experience with BigQuery. Familiarity with data orchestration tools like Airflow and Cloud Composer is a plus. If you are passionate about data and looking to make an impact in a tech-driven company, this could be the perfect opportunity for you.
You'll be taken to the original listing on CareerJet to apply.