In this role, the applicant will take ownership of data engineering solutions. As a client-facing professional, the selected applicant will be responsible for designing and implementing ETL pipelines and leveraging AWS services to manage and process large volumes of data efficiently.
Key Responsibilities
> Lead the design and implementation of ETL processes for data integration and transformation.
> Work extensively with AWS services including Lambda, Glue, Redshift, and QuickSight.
> Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.
> Ensure data quality, integrity, and scalability across various data systems.
> Optimize and maintain data pipelines and processes to meet performance standards.
Required Skills
> Extensive experience with ETL processes and data integration.
> Proficiency in AWS services such as Lambda, Glue, Redshift, and QuickSight.
> Strong communication skills with the ability to explain technical solutions.
> Ability to work independently and manage complex data engineering projects.
Others:
> Work Type: Hybrid
> Employment Type: Full time
> Experience: 4+ years
> Working Days: Sunday-Thursday. Option to switch to Mon – Fri can be discussed after 2 months of onboarding and integration.