Job description
* Experience building and optimizing reliable data pipelines, data architectures and composing
data sets on AWS
* Working experience in migrating workloads from on premise to cloud environment(AWS)
* Data Engineering using (AWS, Python (Pandas, Numpy)
* Experience with AWS Redshift, Glue, Apache Airflow, SNS, SQS, Lambdas(Must)
* Experience with Spark, pyspark, Database Migration Service.
* Experience working with a variety of datastores (SQL, postgresql, S3, etc)
* experience in building source to target data pipelines using AWS native services like Glue,
EMR,Redshift, Lambda.
* Implement CICD(Continuous Integration and Continuous Development) pipeline for Code Deployment
* Build the infrastructure required for optimal Data ETL from a wide variety of data sources using SQL and AWS technologies.
Required Candidate profile
Understanding The Business Process.
Experience developing and maintaining AWS Data Engineer systems.
Excellent communication, presentation, interpersonal and analytical skills including the ability to communicate interactive Client.
Good Experience in AWS Data Engineer.
Please send your resume(talent@tror.ai) with the following information.
Availability (share your availability window, and whether you are working on or planning to keep another full-time or part-time along with this part-time role).