Lead AWS DataOpsEngineer Position Available In Pinellas, Florida

Lead AWS DataOpsEngineer

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

91166600

Position Id:

8633910