We are hiring for our client - Neusort.
Are you an AWS Data Engineer looking for an exciting new opportunity Our client is a leading digital transformation company, and are currently seeking a talented and experienced AWS Data Engineer to join their team.
As an AWS Data Engineer, you will be responsible for designing, implementing, and maintaining our data infrastructure on AWS. You will work closely with our development and data science teams to ensure the smooth and efficient operation of our data pipelines and systems.
Key Responsibilities Of The Role Include
- Designing and implementing data solutions on AWS, including data lakes, data warehouses, and ETL processes.
- Developing and maintaining data pipelines using AWS services such as Glue, Redshift, and Kinesis.
- Collaborating with our development teams to integrate data solutions into our applications and services.
- Working with our data science team to provide them with the data they need for their analysis and modeling work.
- Monitoring and optimizing the performance of our data infrastructure to ensure reliability and scalability.
To be successful in this role, you will need to have a strong background in AWS data services and a solid understanding of data engineering best practices. You should also have experience with data modeling, ETL processes, and data warehousing concepts.
In addition to technical skills, we are looking for someone who can communicate effectively and work well in a team environment. The ability to problem-solve and think critically about data architecture and engineering challenges is also important for this role.
We are committed to providing a collaborative and supportive work environment, as well as opportunities for professional growth and development. If you are passionate about data engineering and are looking for a new challenge, we would love to hear from you!
To apply for the role of AWS Data Engineer, please submit your resume detailing your relevant experience. We look forward to hearing from you!
Skills: pipelines,aws redshift,etl processes,aws,data engineering,data,modeling,data warehousing,data modeling,etl,aws glue,data infrastructure,aws kinesis
