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 (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).