AWS Data Engineer Remote

Position: Hiring AWS Data Engineer || 5+ yrs || Remote
Job Title:

AWS Data Engineer

Experience:

5+ Years

Location:

Remote

Notice Period:

- Immediate joiner (under 15-20 days)

Mandate

Skills:

AWS data engineering experience, including S3, Glue, Athena, Lambda, Step Functions, Lake Formation, KMS, and Cloud Watch, Advanced SQL, Python, Data lake, Apache Iceberg

Good to have skills : CI/CD and Dev Ops (Familiar), Git, JIRA, Sonar Qube

NOTE:

Please attach your resume @K and add your expected CTC details

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- What Your Day Would Be Like

- Design, implement, and maintain ETL pipelines on AWS using Step Functions, Glue, Lambda, and S3, aligned with Iceberg-based Lakehouse patterns.
- Build and optimize SQL transformations for Athena and Iceberg tables, including implementation of star and snowflake schemas from YAML table definitions and SQL transformations.
- Develop and maintain data models (fact and dimension tables) that power analytics and reporting in the data lake.
- Operate data ingestion pipelines and manage Lake Formation permissions to ensure secure and governed data access.
- Implement data quality checks and alerting using the in-repository data quality framework and AWS services.
- Provision, maintain, and evolve infrastructure using Terraform /AWS CDK as the Infrastructure as-Code framework.
- Contribute to CI/CD pipelines, including testing, linting, and deployments.
- Ensure data security and compliance through KMS encryption, IAM, Lake Formation controls, and audit logging.
- Monitor pipelines and infrastructure using Cloud Watch and event-driven alerts.
- Collaborate effectively with cross-functional stakeholders using Atlassian project management tools, demonstrating strong stakeholder management and clear communication throughout the delivery lifecycle.
- Leverage AI-assisted development tools to accelerate troubleshooting, code reviews, and pipeline optimization while maintaining high quality and security standards.

We Would Love to Hear From You If You Have

- A bachelor’s or master’s degree in a technical field.
- 5+ years of experience in data engineering or a similar role.
- Strong AWS data engineering experience, including S3, Glue, Athena, Lambda, Step Functions, Lake Formation, KMS, and Cloud Watch.
- Advanced SQL skills for complex transformations and data modeling.
- Proficiency in Python.

- Experience with data lake architectures and Apache Iceberg (or similar table formats).
- Familiarity with CI/CD and Dev Ops practices.
- Comfort using AI tools responsibly within software development workflows.

Preferred Qualifications

- AWS, Snowflake certifications.
- Experience using Terraform/AWS CDK as Infrastructure as Code at scale.

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- NOTE:

Please attach your resume @K and add your expected CTC details

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- About IGT Solutions

IGT Solutions is a next-gen Tech Services and Customer Experience (CX) company. It enables personalized, meaningful, and effective interactions by combining cutting-edge technology and innovative solutions with the power of Gen AI to deliver exceptional end-user experiences. With the ability to integrate human and digital intelligence seamlessly, it is a trusted partner for managing end-to-end transformation journeys for global majors across industries.

Established in 1998, IGT Solutions has more than 90 global marquee customers and 25,000+ experts servicing client processes from 31 global delivery centers across 13 countries. IGT Solutions' service offerings include data & analytics, digital transformation, systems integration, platform solutions, AI/ML, and Gen AI-led industry and enterprise solutions, intelligent automation and analytics, and a full spectrum of BPM services and solutions.

It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.