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L3 Data Engineer - Support

Stackstudio Digital Ltd.
London
2 days ago
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Job title- L3 Data Engineer- Support
Location: London, UK
Duration: 6 Months
Work Mode: Hybrid (12 Days Onsite per week)

Job Description Looking for L3 Data Engineer | Support |
Key Skills & Expertise
AWS Core Services : S3, Redshift, Glue, Athena, Lake Formation, IAM
Data Engineering / ETL:
Building and optimizing ETL pipelines
Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python)
Working with structured/semi-structured telecom datasets (CDRs, network logs, subscriber data)
Data Lake Technologies:
Expertise in Apache Iceberg table format
Schema evolution, partitioning, compaction & metadata management
Query performance tuning with Athena & Redshift Spectrum
Redshift Expertise:
Data modeling, distribution styles, sort keys
Workload management (WLM)
Performance optimization & troubleshooting
Python:
Automation scripts
Data processing workflows
Monitoring, debugging, validation scripts
AWS Support / Operations:
Troubleshooting ETL failures, performance bottlenecks, pipeline issues
Monitoring cloud workloads (CloudWatch, CloudTrail)
Handling incidents, root-cause analysis (RCA), patching & releases
Cost optimization and resource usage tracking
Data quality checks for telecom data pipelines
Roles & Responsibilities
Provide L2/L3 support for AWS-based data platforms in the telecom domain.
Maintain and enhance ETL pipelines built on Glue + Iceberg + Athena + Redshift.
Monitor production jobs, fix failures, optimize queries, and ensure SLA adherence.
Develop automation for operational workflows using Python.
Collaborate with data architects, business teams, and network teams for data requirements.
Implement best practices for data governance, security, and cost management.
Support migrations from legacy systems to AWS-native data lakes or Redshift.
Ideal Candidate Profile
310+ years of experience in AWS Data Engineering / Support Engineering.
Strong telecom domain understanding.
Hands-on with Iceberg, Athena, Glue (PySpark), Python, Redshift, S3, ETL frameworks.
Strong troubleshooting mindset and ability to work in 247 or rotational support environments (if required).

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