Senior Software Engineer
2nd Floor, InfoTech Centre, 14, Haryana, India, Digital An
JD
Job Title: AWS Data Engineer
Experience: 5+ Years
Shift Timing: 11 AM – 8 PM
Mandate Skillsets : AWS data engineering experience, including S3, Glue, Pyspark, Athena, Lambda, Step Functions, Lake Formation, KMS, and CloudWatch, Advanced SQL, Python, Data lake, Apache Iceberg, Infrastructure as Code (Terraform or CloudFormation), Pyspark coding, IAAC (Infrastructure as a cloud)
Good to have skills : CI/CD and DevOps (Familiar), Git, JIRA, SonarQube
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.
ABOUT US
IGT Solutions (IGT) is committed to simplifying complex customer interactions while delivering a seamless experience. It provides integrated BPM, Technology and Digital Services & Solutions for clients across industries. IGT Solutions is a next-gen customer experience (CX) company, defining and delivering transformative experiences for the global and most innovative brands using digital technologies. With the combination of Digital and Human Intelligence, IGT becomes the preferred partner for managing (end-to-end) CX journeys across Travel and Hi-tech industries.
Established in 1998, with 100% focus on customer experience, IGT employs more than 20,000+ customer experience and technology specialists providing services to 75+ marquee customers globally. IGT’s global footprint consists of 23 delivery centers in China, Philippines, Malaysia, India, UAE, Romania, Indonesia, Spain, Colombia and the USA
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