Senior AWS Data Engineer
Job Description
Senior AWS Data Engineer
Experience: 9-12 years, Relevant with AWS: 5+ Years
Locations: Gurugram. Hybrid ModelNotice period: 0-60 days
Mandatory skills: AWS, Data Modelling, ETL, Python, AWS Glue, AWS Services, Lambda, S3.
Certified in AWS.
Primary Responsibilities:
Enhancements, new development, defect resolution and production support of ETL development using AWS native services.
This is a senior role hence Total Experience 9 plus is mandatory
Experience with Data Modelling (worked with different data sets and its integrations).
Integrate data sets using AWS services such as Glue, Lambda functions.
Use AWS SNS to send emails and Alerts.
Author ETL processes using Python, Pyspark.
ETL process monitoring using CloudWatch events.
Connecting with different data sources like S3 and validating data using Athena.
Competencies / Experience:
Deep technical skills in AWS Glue (Crawler, Data Catalog): 5 years.Hands-on experience on Python: 3 years.
PL/SQL experience: 3 years.
CloudFormation and Terraform: 2 years
CI/CD Github actions : 2 years
Good understanding of AWS services like S3, SNS, Secret Manager, Athena and Lambda
Additionally, familiarity with any of the following highly desirable: Jira, Github, Python, Snowflake.