Senior Data Engineer - Hybrid

About this kind of role

What a Senior Data Engineer - Hybrid usually does. The employer's own details are in the listing.

Typically does: A Senior Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data analysis and machine learning initiatives. This role involves extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or data lakes. They also focus on data quality, reliability, and performance optimization, ensuring data is accessible and trustworthy for stakeholders. Senior Data Engineers often mentor junior engineers and contribute to architectural decisions.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), ETL tools, data warehousing technologies, and experience with big data frameworks like Spark or Hadoop are typically required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work collaboratively in a fast-paced environment often thrive in this role.