Data Engineer Lead

Job Description :
8+ years of experience as a Data Engineer with AWS, Glue, Lambda, SQL,
Python, DevOps, Redshift.

Must have working knowledge in designing and implementing data pipelines
on any cloud provider (AWS is preferred). Must be able to work
with large volumes of data coming from various sources. Perform data
cleansing, data validation, etc

2. Hands-on ETL developer who is good at Python, and SQL. AWS services like
glue, glue crawlers, lambda, redshift, athena, s3, EC2, IAM, Monitoring
and Logging mechanisms- AWS cloudwatch, setting up alerts.

3. Deployment knowledge on the cloud. Integrate CI/CD pipeline to build
artifacts and deploy changed to higher Environments.

4. Scheduling frameworks Airflow, AWS Step functions

5. Excellent Communication skills, should be able to work
collaboratively with other teams.