Senior Data Engineer – Hadoop

About this kind of role

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

Typically does: Designs, builds, and maintains data pipelines and infrastructure to support data warehousing and analytics. This role involves transforming raw data into usable formats, ensuring data quality, and optimizing data storage and retrieval. Senior Data Engineers often work with large datasets and complex systems, collaborating with data scientists and analysts to meet their data needs. They are responsible for the performance, scalability, and reliability of data systems.

Tools and skills: Proficiency in Hadoop ecosystem components like Hive, Spark, and MapReduce, along with experience in SQL, Python or Java, and cloud platforms such as AWS or Azure, is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment typically thrive in this role.