Deeplight AI

AWS Glue Data Engineer

Deeplight AI

full-time

Posted on:

Location Type: Hybrid

Location: Dubai • 🇦🇪 United Arab Emirates

Visit company website
✨ AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

AWSETLPySparkTerraform

About the role

  • ***Your responsibilities as the AWS Glue Data Engineer will include:***
  • - **Data Ingestion Development**
  • - Building and implementing AWS Glue jobs for Bronze layer ingestion using defined standards and templates.
  • - Implementing correct loading methods based on source requirements (CDC, full load, delta, snapshot).
  • - Designing and executing historical loading mechanisms to bring legacy data into the Lakehouse.
  • - **Performance Optimisation**
  • - Optimising Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.
  • - Collaborating with platform teams to ensure tooling and optimization alignment.
  • - **Migration & Automation**
  • - Aggressively migrating source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration.
  • - Ensuring jobs are version-controlled and production deployment is automated via Git and Terraform.
  • - **Governance & Monitoring**
  • - Implementing source system connectivity into CDP in collaboration with source system owners.
  • - Ensuring jobs comply with data contracts and are properly monitored.
  • - Preparing documentation and handover to operational support teams.
  • - **Collaboration**
  • - Working closely with Data Architect for ingestion patterns and standards.
  • - Coordinating with Data Assurance Lead to apply quality checks across all jobs.
  • - Partnering with platform engineers for tooling and optimisation.

Requirements

  • ***You will have experience in:***
  • - AWS Glue, PySpark, and ETL pipeline development;
  • - substantial knowledge of Lakehouse architecture and Medallion design principles;
  • - familiarity with CDC, delta loads, and historical data ingestion strategies; and;
  • - 5+ years experience in data engineering roles, with hands-on experience in AWS Glue.
  • ***You should also have knowledge of:***
  • - AWS services: Glue, S3, Athena, Lambda;
  • - Git, Terraform for CI/CD automation;
  • - data quality frameworks (e.g., Soda Core);
  • - identifying ways to automate their work / repetitive tasks;
  • - working in a fast-paced environment and deliver aggressive migration targets;
  • - collaborating and communication with different stakeholder levels; and;
  • - working with Jira and agile way of working.
Benefits
  • **Benefits & Growth Opportunities:**
  • · Competitive salary and performance bonuses
  • · Comprehensive health insurance
  • · Professional development and certification support
  • · Opportunity to work on cutting-edge AI projects
  • · Flexible working arrangements
  • · Career advancement opportunities in a rapidly growing AI company

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AWS GluePySparkETL pipeline developmentLakehouse architectureMedallion design principlesCDCdelta loadshistorical data ingestiondata quality frameworksautomation
Soft skills
collaborationcommunicationstakeholder managementperformance optimizationproblem-solvingadaptabilityattention to detailtime managementteamworkleadership