Lead AWS DataOpsEngineer

Overview

Hybrid

$45 - $49

Contract - W2

Contract - 1 Year(s)

Able to Provide Sponsorship

Skills

Amazon Redshift

AWS Glue

Amazon S3

Database Migration Service

AWS Lambda

Lead Cross-Functional team

PySpark

SQL

Job Details

Interview Process:

Round 1:
- 1-hour technical interview with Perficient AWS hiring manager + senior team member
- Includes a live coding session in PySpark and SQL
Round 2:
- 1-hour technical panel with end client hiring manager + team
- Includes another live coding session in PySpark and SQL

Job Overview:

We are seeking a Lead AWS DataOps Engineer with deep hands-on coding skills in PySpark and SQL, along with proven leadership experience. This is a highly technical role that requires expertise in AWS-native data services. Candidates with Azure-focused backgrounds will not be considered.

Mandatory Requirements:

Hands-on coding proficiency in PySpark and SQL (live assessments in both interview rounds)
10+ years of professional experience, including leadership of data teams or projects
Strong experience with core AWS services, specifically:
- Amazon Redshift
- AWS Glue
- Amazon S3
- AWS DMS (Database Migration Service)
- AWS Step Functions
- AWS Lambda
Must be able to lead teams, manage deliverables, and work closely with cross-functional stakeholders
Strong communication skills and ability to operate in a hybrid work environment

Important Notes:

Azure-focused candidates will be rejected. The client requires demonstrated experience with AWS-specific technologies.
Candidates must be comfortable with live coding evaluations during interviews.

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