Infosys

AWS Data Engineer

Posted On

May 17, 2024

Location

Bangalore, Karnataka

Experience Level

3 - 5 Years Exp.

Job Type

Permanent

Apply By

June 30, 2024

Job Description

Responsibilities: • Design, develop, and maintain data pipelines and ETL processes on AWS using services such as S3, Glue, Lambda and Cloud Formation. • Implement scalable and efficient data storage solutions on AWS, ensuring data security and compliance. • Collaborate with data scientists and analysts to understand data requirements and implement solutions to support analytical processes. • Optimize data workflows and processes for performance and cost-efficiency. • Troubleshoot and resolve data-related issues, ensuring minimal downtime and high availability. • Monitoring existing data pipelines and be part of other support activities. • Stay updated with AWS services and best practices and provide recommendations for continuous improvement. Educational Requirements Bachelor Of Technology,Bachelor of Engineering Additional Responsibities: • Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data • Logical thinking and problem-solving skills along with an ability to collaborate • Ability to assess the current processes, identify improvement areas and suggest the technology solutions Location of posting - Infosys Ltd. is committed to ensuring you have the best experience throughout your journey with us. We currently have open positions in a number of locations across India - Bangalore, Pune, Hyderabad, Mysore, Kolkata, Chennai, Chandigarh, Trivandrum, Indore, Nagpur, Mangalore, Noida, Bhubaneswar, Coimbatore, Mumbai, Hubli, Jaipur, Vizag. While we work in accordance with business requirements, we shall strive to offer you the location of your choice, where possible. Technical and Professional Requirements: • Proven experience in designing and implementing data solutions on AWS. • In-depth knowledge of AWS data services such as S3, Glue, Redshift, Athena, Lambda and Cloud Formation. • Proficiency in programming languages such as Python for data processing and automation. • Proficiency in SQL and experience in working on different databases. • Experience with data warehousing, data modeling, and ETL development. • Strong understanding of data security, encryption, and compliance on AWS. • Excellent problem-solving and communication skills. • AWS certification(s) such as AWS Data Engineer - Associate is a plus.

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