Design, build, and maintain scalable data architectures on AWS cloud platform.
Develop and implement data pipelines for ingesting, processing, and transforming large volumes of data from diverse sources.
Design and optimize data models for efficient storage, retrieval, and analysis in data warehouses like Amazon Redshift.
Implement data governance policies, access controls, and encryption mechanisms to ensure data security and compliance.
Monitor and troubleshoot data pipelines, identifying and resolving performance bottlenecks and data quality issues.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Document data infrastructure, pipelines, and best practices for knowledge sharing and future reference.
Stay updated with the latest AWS services, best practices, and industry trends in data engineering.

Requirements :

Bachelor's degree in Computer Science, Engineering, or related field.
Proven experience in designing and implementing data solutions on AWS cloud platform.
Proficiency in AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR, etc.
Strong programming skills in languages like Python, Scala, or Java.
Experience with data modeling, ETL processes, and SQL querying.
Familiarity with data governance, security, and compliance requirements.
Excellent communication and collaboration skills.
Ability to work independently and in a team-oriented, collaborative environment.
AWS certification(s) such as AWS Certified Big Data - Specialty is a plus.

Benefits :

Competitive salary and benefits package.
Opportunities for career growth and professional development.
Work in a dynamic and innovative environment with cutting-edge technologies.
Flexible work arrangements and a supportive work culture.
If you have the expertise and passion for building scalable and efficient data solutions on AWS, we'd love to hear from you! Apply now to join our team and make an impact in the world of data engineering.