Data Engineer(AWS)

Roles & Responsibilities

Role : Data Engineer

JD : Required Skills :

1. AWS Services

 Extensive experience with AWS services (SageMaker, QuickSight, Athena, Lambda, data pipelines).

 Experience using AWS services in Python and Command Line Interface

 Proficiency in serverless architecture design and Lambda function development.

2. Infrastructure as Code (IaaC)

 Experience in Infrastructure-as-Code (eg. CloudFormation, YAML, JSON infrastructure scripts)

 Lambda function provisioning and management through IaaC templates

 Integration of serverless components with traditional infrastructure resources

3. Programming and Automation Skills

 Proficiency in Python programming and UiPath automation

 Experience developing and deploying Lambda functions for data processing and automation

 Understanding of event-driven architecture and serverless computing patterns

4. Data Visualisation and Analytics

 Strong background in Tableau and QuickSight dashboard development

 Experience with ETL processes and data pipeline design

 Knowledge of serverless data processing workflows using Lambda

5. DevOps and Collaboration

 Experience working with DevOps stack (eg. Ship-hats, GitLab, Nexus Repo etc)

 Understanding of CI / CD pipelines for both application code and infrastructure deployment

 Experience with infrastructure change management including security groups and network ACLs

6. Technical writing and documentation skills

7. Training delivery and user support capabilities

Tell employers what skills you have

Tableau

JSON

Technical Writing

Pipelines

SageMaker

Documentation Skills

ACLS

ETL

Infrastructure Deployment

YAML

Python

Architecture Design

Python Programming

Training Delivery

Data Visualisation