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Virtusa
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AWS Data Engineer

AWS Data Engineer

Virtusa

7 - 10 years

0 Lacs

chennai tamil nadu india

Posted:2 days ago| Platform:

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Skills Required

aws data analytics learning ai ml drive design support consistency governance compliance management planning integration migration sagemaker model training deployment monitoring redshift iam engineering etl processing sql query optimization joins python scripting automation security communication collaboration scaling documentation onboarding troubleshooting resolve workflow

Work Mode

On-site

Job Type

Full Time

Job Description

Data Engineer

Location:

Chennai, Hyderabad, or Bangalore

Years of Experience:

7-10 Years

Detailed JD

We are seeking a Data Engineer with 6–9 years of experience to join our offshore teams. In this role, you will be responsible for building and managing data pipelines that enable advanced analytics and machine learning initiatives. You will collaborate with business and technical teams to ensure data is accessible, reliable, and optimized for AI/ML workloads, helping the organization unlock actionable insights and drive innovation through data-driven decision-making.

Responsibilities

Design, develop, and maintain scalable data pipelines to support analytics and machine learning projects.
Collaborate with stakeholders to understand data requirements and deliver solutions that meet business needs.
Ensure data quality, consistency, and availability across multiple environments.
Monitor and optimize workflows to maintain high performance and reliability.
Support governance and compliance initiatives by implementing standards for data management and security.
Participate in planning and execution of data integration, migration, and transformation projects.

Mandatory Skills

AWS SageMaker (model training, deployment, monitoring) - Advanced
AWS Cloud Services (S3, Lambda, Glue, Redshift, IAM) - Advanced
Data Engineering Fundamentals (ETL, data pipelines, batch/stream processing) - Expert
SQL (query optimization, joins, transformations) - Advanced
Python (data manipulation, scripting, automation) - Advanced

Preferred Skills

Data Governance & Security: Ensures compliance and protects sensitive data across pipelines and ML workflows.
Communication & Collaboration: Needed to work effectively with distributed teams and business stakeholders.
Performance Optimization: Important for scaling pipelines and reducing costs in cloud environments.
Documentation & Knowledge Sharing: Critical for reproducibility and onboarding new team members.
Problem Solving & Troubleshooting: Required to quickly resolve workflow issues and maintain reliability.

Qualifications:

Bachelor's degree in computer science, Engineering, or a related field

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AWS Data Engineer