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Job Description
Job Description:
- A day in the life of an Infoscion
- As part of the Infosys Delivery team, you will work on implementing designs, developing high-quality programs and systems, and partnering with our clients to ensure high-quality deliverables
- You will create technical artifacts and act as the first point of contact for responding to production issues and performing technical analysis to reach effective solutions
- You will share your learnings through knowledge management initiatives and leverage knowledge from other projects to drive high efficiency and effectiveness
- You will be a key contributor to building efficient programs and systems; if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you
- If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you
Key Responsibilities:
- Design, develop, and maintain scalable ETL and ELT data pipelines on AWS to ingest, transform, and load data from diverse sources
- Build and optimize data workflows using AWS Glue, ensuring reliability, reusability, and performance of jobs and crawlers
- Design, implement, and manage data warehousing solutions on AWS Redshift, including schema design, partitioning, and performance tuning
- Implement data quality checks, validation rules, and monitoring to ensure accuracy, completeness, and consistency of data assets
- Collaborate with analytics and business teams to understand reporting and BI requirements, and translate them into efficient data models and datasets
- Apply best practices for security, compliance, and governance across AWS data services, including access control and encryption standards
- Troubleshoot and resolve data pipeline issues, optimize job performance, and proactively improve system reliability and scalability
- Contribute to documentation standards and reusable frameworks for data engineering on AWS to support team-wide efficiency and consistency
Technical Requirements:
- Primary skills Domain Communication Equipment Communication Equipment UAV Technology Cloud Platform AWS Enviornment Provisioning Technology Data On Cloud NoSQL Amazon Dynamo DB Technology Data On Cloud Platform AWS
Additional Responsibilities:
- Deep hands-on experience with AWS Glue, including job orchestration, Glue Studio jobs, and integration with other AWS data services
- Strong experience with AWS Redshift, including cluster management, query optimization, workload management, and cost-performance tuning
- Demonstrated track record of delivering end-to-end data engineering solutions on AWS for analytics, BI, or data science use cases
- Experience implementing data governance, metadata management, and data cataloging using AWS native tools or similar tools
- AWS related certification e
- g
- AWS Certified Data Analytics, AWS Certified Solutions Architect, or AWS Certified Developer is a strong plus
- Ability to work in cross-functional teams, communicate technical concepts clearly, and mentor junior engineers on AWS data best practices
