Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
About the role
- AWS Glue Data Engineer at DeepLight AI responsible for data ingestion and pipeline performance optimisation. Collaborate with teams to build scalable solutions in a hybrid work environment.
Responsibilities
- ***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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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