Job Overview
Data Engineers play a pivotal role in designing and implementing scalable data architectures to efficiently handle large volumes of data and support diverse data processing workflows.
Key Responsibilities
* Developing efficient data ingestion pipelines
* Implementing data transformation and enrichment processes
* Collaborating with cross-functional teams including data scientists and analysts
* Optimizing data storage and retrieval mechanisms
* Monitoring and troubleshooting the DataLake infrastructure
* Mentoring junior data engineers
Required Skills and Qualifications
The ideal candidate will possess extensive experience working as a Data Engineer, strong programming skills in languages like Python, Java, or Scala, along with experience using SQL for data manipulation and querying.
Familiarity with data modeling techniques and data warehousing concepts, including star and snowflake schemas, is also essential.
Benefits
Strong problem-solving and analytical skills, excellent communication and collaboration skills, and the ability to work effectively in a cross-functional team environment are required.