Greetings
We are HiringAWS Support Engineer / Data Engineer Telecom Domain
AWS Support Engineer / Data Engineer Telecom Domain (JD)
Location: Ipswich, UK
Permanent Employment
5 days onsite
- 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
- Telecom Domain:
- Experience with OSS/BSS systems
- Understanding of CDR processing, network KPIs, subscriber analytics
- 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 require
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