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 CloudWatch, Advanced SQL, Python, Data lake, Apache Iceberg Good to have skills : CI/CD and DevOps (Familiar), Git, JIRA, SonarQube NOTE: Please attach your resume @Katha.Mahajan@igtsolutions.com and add your expected CTC details ------------------------------------------------------------------------------------------------------------ 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 Infrastructureas-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 CloudWatch 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 CloudWatch. • 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 DevOps 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. ----------------------------------------------------------------------------------------------------------- NOTE: Please attach your resume @Katha.Mahajan@igtsolutions.com and add your expected CTC details ----------------------------------------------------------------------------------------------------------- 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.