AWS Data Engineer

Job Title:

AWS Data Engineer

Experience:

5+ Years

Location:

Remote
Shift Timing:  11 AM – 8 PM

Mandate Skillsets :  AWS data engineering experience, including S3, Glue, Pyspark, Athena, Lambda, Step Functions, Lake Formation, KMS, and Cloud Watch, Advanced SQL, Python, Data lake, Apache Iceberg, Infrastructure as Code (Terraform or Cloud Formation)

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

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

Required Skills:

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.

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.

IGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC® Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.

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.