AWS Support Engineer​/Data Engineer Telecom Domain

Position: AWS Support Engineer / Data Engineer Telecom Domain
Job Title:

AWS Support Engineer / Data Engineer

Location:

Ipswitch (onsite) Job Type: Permanent

Job Summary:

AWS Support Engineer / Data Engineer Telecom Domain (JD) 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 (Cloud Watch, Cloud Trail) 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 3 10 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 24 7 or rotational support environments (if required).