1 day ago
Noida, IndiaStaff+
Responsibilities
- Design and develop backend services, data APIs, and serverless components for analytics and application workloads.
- Build and operate event-driven architectures using AWS services for near-real-time and batch ETL workloads.
- Implement AWS Glue ETL and data integration pipelines that load, transform, and curate data in Amazon Redshift and related warehouses.
- Model and optimize analytical data structures, including dimensional schemas, partitioning, and distribution and sort keys.
- Enable Amazon QuickSight reporting and authoring through data preparation, semantic modeling, row-level security, and dashboard performance tuning.
- Apply scalable big-data storage and compute practices to S3-based data lakes and columnar data formats.
- Implement monitoring, logging, and alerting for serverless and event-driven workloads.
- Translate business, AI, and analytics requirements into technical designs and working solutions with data and product teams.
- Contribute to architecture reviews and AWS best-practice adoption for security, IAM, networking, cost optimization, and reliability.
- Mentor engineers in serverless, data, AI application, coding, and cloud-native design patterns.
Requirements
- 10+ years of hands-on experience building applications and services on AWS, ideally as a cloud application architect or backend engineer.
- Advanced Python proficiency for backend development, ETL, automation, AWS Lambda, and AWS Glue jobs.
- Proven experience with AWS serverless computing, including Lambda, API Gateway, Step Functions, and event-driven integration patterns.
- Experience designing and maintaining AWS Glue ETL pipelines, workflows, crawlers, and related data integration tooling.
- Strong SQL skills and experience with analytical databases and data warehouses, especially Amazon Redshift.
- Knowledge of dimensional modeling, fact and dimension design, slowly changing dimensions, partitioning, and indexing.
- Experience with AWS big-data analytics workloads, including S3 data lakes, Parquet or ORC, Redshift Spectrum, Athena, or similar technologies.
- Hands-on experience with BI and data visualization tools, preferably Amazon QuickSight, including dataset design, dashboards, and security.
- Understanding of AWS infrastructure fundamentals, including VPCs, subnets, networking, IAM, encryption, and security best practices.
- At least one relevant AWS certification, such as Solutions Architect, Data Analytics, or Developer, or equivalent practical expertise.
Benefits
- Health benefits starting Day One, wellbeing programs, retirement plans, career growth opportunities, continuing education and training, and a competitive total rewards package.
- Remote or hybrid work arrangement; occasional travel to a physical office may be required.
- Virtual interviews are conducted by video and may require a camera on.
- Employment is contingent on successfully completing applicable background checks.
About Alight
Alight provides cloud-based benefits administration and human capital solutions to large employers, combining its Alight Worklife platform with outsourced services for health, wealth, leave, and wellbeing programs. It earns revenue through SaaS subscriptions and long-term managed services and consulting. Headquartered in Deerfield, Illinois, Alight was carved out of Aon’s benefits outsourcing business by Blackstone in 2017 and is now publicly traded on the NYSE (ticker: ALIT).