ETL Data Analytics & Data Tool Administrator

About Client :

Our Client is a global IT services company headquartered in South borough, Massachusetts, USA.

Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation.

It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title : ETL Data Analytics Admin.

Key Skills : ETL Data Analytics & Data Tool PB Administrator ,.

Job Locations : Bengaluru.

Experience : 5-7 Years.

Education Qualification : Any Graduation.

Work Mode : Hybrid.

Employment Type : Contract.

Notice Period : Immediate.

Job Description :

Role : ETL Data Analytics & Data Tool Administrator.

About the Job :

Who are we looking for ?

We are looking for 5+ years of PB Administrator (often referred to as an ML Admin user role or a SageMaker ML Ops Engineer) is responsible for provisioning, managing, and maintaining the infrastructure and resources for data scientists and other users working with Amazon SageMaker.

Technical Skills & Responsibilities :

• Creating SageMaker Studio domains and user profiles.
• Setting up necessary AWS services like AWS Key Management Service (AWS KMS) for encryption, S3 buckets for data storage, and Amazon Elastic Container Registry (Amazon ECR) for storing containers.
• Configuring and managing the underlying infrastructure like VPCs (Virtual Private Clouds) for network isolation.
• Managing users and groups within SageMaker Unified Studio, including setting up permissions and authentication.
• Exposure in any ETL tools like Exposure in any reporting tools like PowerBI / Tableau / Cognos / MicroStrategy / Sigma / QlikView.
• Using SageMaker Role Manager to define persona-based roles and grant fine-grained access control.
• Federating user identities and authorization for auditing and access control.
• Setting default configurations and lifecycle scripts for users.
• Building and attaching custom images to the SageMaker Studio domain.
• Providing Service Catalog products.
• Monitoring platform performance and resource usage to identify bottlenecks.
• Ensuring security and compliance controls are up-to-date.
• Collaborating with data scientists, ML engineers, and other stakeholders.
• Sharing best practices and expertise within the team.
• Managing shared accounts for ML workload development, testing, and production.

Qualification :

Some employers may prefer a master's degree.

(ref : hirist.tech)