About the Role
Data Engineers play a crucial role in designing and implementing data processing systems. In this position, you will work with large datasets to design scalable architectures and ensure high-performance access to data.
Key responsibilities include:
* Designing and implementing cloud-based serverless architectures for large-scale data processing and storage.
* Developing data ingestion pipelines and integration processes.
* Implementing data transformation and enrichment processes using cloud services like AWS Lambda or similar technologies.
* Collaborating with data scientists and analysts to understand their data requirements and design appropriate models and schemas.
The ideal candidate should have extensive experience working as a Data Engineer, with a strong focus on cloud technologies and serverless architectures. Strong programming skills in languages like Python, Java, or Scala, along with experience using SQL for data manipulation and querying, are also required. Familiarity with modeling techniques and data warehousing concepts is beneficial.
In addition to technical skills, excellent communication and collaboration skills are essential for success in this role. The ability to work effectively in a team environment and collaborate with analysts and data scientists to deliver actionable insights is critical.
Required Skills and Qualifications
* Extensive experience in designing and implementing cloud-based data processing systems.
* Proficiency in programming languages like Python, Java, or Scala.
* Knowledge of SQL and database management systems.
* Familiarity with data modeling techniques and data warehousing concepts.
What We Offer
A dynamic and collaborative work environment where you can grow professionally and personally.
Ongoing training and development opportunities to enhance your skills and knowledge.
A competitive salary and benefits package.