Infosys

Data Engineer |AWS

Check with seller / month
Jaipur, Rajasthan, India Work from home Active
Actively Hiring Jaipur Full Time
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Job Description



Kotak Life Insurance


Work From Home - Financial Consultant
Kotak Life Insurance • via WorkIndia.in
7 days ago
₹3K–₹75K a month
Full–time
No Degree Mentioned
Apply on WorkIndia.in
Job description
Salary Range : Rs. 3000 - Rs. 75000 , based on skills, experience, and interview performance

Educational Requirement : 12th Pass

Work Arrangement : Work From Home / Remote

Gender Preference : Both male and female can apply

Skills Requirement : No predefined skills necessary

Experience Requirement : 1 - 2 Years of Experience

Location : Jayanagar

Working Hours : 0+:30 am - 6:30pm | Monday to ...
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Infosys


Data Engineer (AWS)
Infosys • Bengaluru, Karnataka • via Instahyre
Full–time
No Degree Mentioned
Apply on Instahyre
Job description
Responsibilities:
• Design, develop, and maintain data pipelines using AWS services such as AWS Glue, Redshift/Spectrum, S3 API Gateway, Athena, Step, and Lambda Functions.
• Implement ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes for seamless data integration.
• Collaborate with cross-functional teams to design and implement large-scale distributed systems for data processing and analytics.
• Optimize and maintain CI/CD pipelines to ensure smooth deployment and integration of new data solutions.

Requirements:
• 3+ years of hands-on experience with AWS services: Glue, Redshift/Spectrum, S3 API Gateway, Athena, Step and Lambda functions.
• Proficiency in ETL/ELT patterns and experience building scalable data pipelines.
• Strong development experience in Python or any other object-oriented programming language.
• Advanced SQL skills with the ability to write and optimize complex queries.
• Proven experience in designing, implementing, and managing large-scale distributed systems.
• Experience in maintaining and improving CI/CD pipelines for automated deployments and integrations.

Preferred Qualifications:
• Experience in data architecture, data lake design, and cloud infrastructure.
• Hands-on with AWS best practices and security standards
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