AWS Support Engineer

21 hours ago

Ipswich Suffolk, United Kingdom Infoplus Technologies UK Limited Full time

Work Location address: Ipswich, UK Onsite Work from office 5 days a week AWS Support Engineer / Data Engineer – Telecom Domain • 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 • 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).

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