About this role
The team is seeking a proactive AWS Data Engineer to join their dynamic team. In this role, you will be responsible for liaising with coworkers and clients to clarify requirements, conceptualizing and generating infrastructure for big data access and analysis, and optimizing existing frameworks. You will also conduct rigorous testing, prepare raw data for data scientists, and ensure data integrity and accessibility while staying current with industry advancements.
Key Responsibilities:
- Collaborate with team members and clients to gather and clarify data requirements.
- Design and implement scalable data infrastructure on AWS for big data solutions.
- Optimize and enhance existing data frameworks and processes.
- Conduct thorough testing to ensure data quality and reliability.
- Prepare and preprocess raw data for analysis by data scientists.
- Maintain data integrity and accessibility across various platforms.
- Stay updated with the latest trends and technologies in data engineering and AWS.
Required Skills & Qualifications:
- Proficiency in AWS services such as S3, Redshift, and Lambda.
- Experience with big data technologies such as Hadoop, Spark, or similar.
- Strong programming skills in Python or Java.
- Familiarity with data modeling and ETL processes.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced environment.
Experience:
- Minimum of 3-5 years of experience in data engineering or related fields.
What we offer:
- A dynamic work environment with opportunities for professional growth.
- Access to the latest tools and technologies in data engineering.
- Collaborative team culture focused on innovation and excellence.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.