AWS Data Platform Engineer

Location: 2-3 Days onsite in either New York City, Lawrenceville, NJ or Washing DC. No relocation

Notes:

This is an AWS Platform Engineer who is building the underlying platform that other Data Engineers will use. So, they need experience building out the Platform and a focus on Infrastructure as code.

Here is some specific details from the hiring manager. First 2 are mandatory and 3rd can be optional:

• Infrastructure as Code(IaC) is required. AWS CDK with Typescript as language for CDK development
• Working Experience/Expertise creating AWS infrastructure for AWS services
• Some experience in Databricks environment

What you’ll do:

• Build on the AWS data platform which supports Datalake, Job Orchestration, ETL template, ETL Compute, integration with third party tools like fivetran, Monte Carlo
• Design, code and maintain infrastructure as a code (IaC) using CDK, typescript, CDKTF.
• Build and improve workflow orchestration tooling to support efficient data pipelines E.g., airflow plugins, systems integration, deployments.

What you’ll need:

• 7+ years’ experience developing infrastructure as Code working with AWS CDK, typescript/or Python.
• 3+ years of experience working on AWS building out the cloud platform
• AWS CDK with Typescript as language for CDK development
• Working Experience for Job Orchestration tool – Airflow/MWAA
• Working Experience/Expertise creating AWS infrastructure for AWS services including but not limited to: S3 Datalake, Kms keys, IAM Role/Policy, MWAA, RDS, Lambda function
• Knowledge/Expertise on tools viz (Fivetran, Monte-Carlo, Datadog, Tableau/Looker)

Plus Skills

• Experience/Expertise on Databricks and Monte Carlo is a plus.

Must be able to work onsite in either NYC, Lawrenceville, NJ, or Washington DC