AWS Data Engineer
To Apply, use the below link:
https://career.infosys.com/jobdesc?jobReferenceCode=INFSYS-EXTERNAL-210775&rc=0
JOB Profile:
Significant 5 to 9 years of experience in designing and implementing scalable data engineering solutions on AWS.
Strong proficiency in Python programming language.
Expertise in serverless architecture and AWS services such as Lambda, Glue, Redshift, Kinesis, SNS, SQS, and CloudFormation.
Experience with Infrastructure as Code (IaC) using AWS CDK for defining and provisioning AWS resources.
Proven leadership skills with the ability to mentor and guide junior team members.
Excellent understanding of data modeling concepts and experience with tools like ERStudio.
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Experience with Apache Airflow for orchestrating data pipelines is a plus.
Knowledge of Data Lakehouse, dbt, or Apache Hudi data format is a plus.
Roles and Responsibilities
Design, develop, test, deploy, and maintain large-scale data pipelines using AWS services such as S3, Glue, Lambda, Redshift.
Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
Desired Candidate Profile
5-9 years of experience in an IT industry setting with expertise in Python programming language (Pyspark).
Strong understanding of AWS ecosystem including S3, Glue, Lambda, Redshift.
Bachelor's degree in Any Specialization (B.Tech/B.E.).
Keyskills: Aws Glue AWS Data Engineer Pyspark Aws Lambda Redshift Aws Python
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