Aws Data Engineer-N

Infosys

Hyderabad, Pune District, Bengaluru

On-site

INR 1,400,000 - 1,800,000

Full time

14 days+

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Job summary

Infosys in Hyderabad is seeking a Data Engineer to design and develop scalable data pipelines on AWS, build ETL workflows with AWS Glue, and work with S3, Lambda, and Redshift. You will develop data processing solutions using Python and SQL, optimize cloud data workflows and performance, ensure data quality and security, and collaborate with stakeholders.

The ideal candidate has 3-5 years of data engineering experience with strong AWS expertise and hands-on knowledge of Glue, Lambda, S3, and

Qualifications

  • 3-5 years of Data Engineering experience.
  • Strong hands-on AWS experience.
  • Expertise in AWS Glue, Lambda, S3, and Redshift.
  • Good Python and SQL skills.
  • Experience in ETL and cloud-based data solutions.
  • Strong analytical and troubleshooting abilities.

Responsibilities

  • Design and develop scalable data pipelines on AWS.
  • Build ETL workflows using AWS Glue.
  • Work with S3, Lambda, Redshift, and related AWS services.
  • Develop data processing solutions using Python and SQL.
  • Optimize cloud data workflows and performance.
  • Ensure data quality and security.
  • Collaborate with business and technical stakeholders.

Skills

AWS
Python
SQL
ETL
Data pipelines
Data quality
Security
Stakeholder collaboration

Tools

AWS Glue
Lambda
S3
Redshift

Job description

Role & Responsibilities
  • Design and develop scalable data pipelines on AWS.
  • Build ETL workflows using AWS Glue.
  • Work with S3, Lambda, Redshift, and related AWS services.
  • Develop data processing solutions using Python and SQL.
  • Optimize cloud data workflows and performance.
  • Ensure data quality and security.
  • Collaborate with business and technical stakeholders.
Preferred Candidate Profile
  • 3-5 years of Data Engineering experience.
  • Strong hands-on AWS experience.
  • Expertise in AWS Glue, Lambda, S3, and Redshift.
  • Good Python and SQL skills.
  • Experience in ETL and cloud-based data solutions.
  • Strong analytical and troubleshooting abilities.
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