AWS Data Engineer

Skills

Required qualifications to be successful in this role Candidate should have Hands on experience with AWS services such as Glue EMR Lambda Step Functions CloudTrail CloudWatch SNS SQS S3 VPC EC2 RDS IAM. Proficient in at least one programming language (Python Scala Java etc) Experience in ETL / Data application development and version control systems such as Git. Knowledge of application development lifecycles & continuous integration/deployment practices. 5 - 7 years experience delivering and operating large scale highly visible distributed systems. Knowledge of IAC using terraform is preferred. Snowflake MPP and graph database experience is preferred but not mandatory.

Description

AWS Data Engineer will be a key contributor to our Services practice and will have the below responsibilities:

Work with technical development team and team lead to understand desired application capabilities.
Continuously improve software engineering practices.
Work within and across Agile teams to test and support technical solutions across a full-stack of development tools and technologies
Responsibilities:
Candidate would develop applications in AWS - data and analytics technologies including but not limited to Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM.
Candidate would need to do development using application development by lifecycles, & continuous integration/deployment practices.
Working to integrate open source components into data-analytic solutions
Working with vendors to enhance tool capabilities to meet enterprise needs
Willingness to continuously learn & share learnings with others

Responsibilities

• AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM-- 2+ Excellent
• Python/Scala/Java etc Programming-- 3+ Excellent
• Terraform-- 1+ Good
• SQL– Simple to Complex SQL analysis-- 2+ Excellent