AWS Data Engineer

2 days ago

Ipswich, Suffolk, United Kingdom Ampstek Full time

Position: AWS Data Engineer

Position type: Permanent (Onsite)

Location: Ipswich, UK

Job Description:

We are seeking an experienced
AWS Data Engineer
with strong expertise in
ETL pipelines, Redshift, Iceberg, Athena, and S3
to support large-scale data processing and analytics initiatives in the
telecom domain
. The candidate will work closely with data architects, business analysts, and cross-functional teams to build scalable and efficient data solutions supporting network analytics, customer insights, billing systems, and telecom OSS/BSS workflows.

Key Responsibilities

1. Data Engineering & ETL Development

  • Design, develop, and maintain
    ETL/ELT pipelines
    using AWS-native services (Glue, Lambda, EMR, Step Functions).
  • Implement data ingestion from telecom systems like
    OSS/BSS, CDRs, mediation systems, CRM, billing, network logs
    .
  • Optimize ETL workflows for large-scale telecom datasets (high volume, high velocity).

2. Data Warehousing (Redshift)

  • Build and manage scalable
    Amazon Redshift
    clusters for reporting and analytics.
  • Create and optimize
    schemas, tables, distribution keys, sort keys
    , and workload management.
  • Implement Redshift Spectrum to query data in S3 using external tables.

3. Data Lake & Iceberg

  • Implement and maintain
    Apache Iceberg
    tables on AWS for schema evolution and ACID operations.
  • Build Iceberg-based ingestion and transformation pipelines using Glue, EMR, or Spark.
  • Ensure high performance for petabyte-scale telecom datasets (CDRs, tower logs, subscriber activity).

4. Querying & Analytics (Athena)

  • Develop and optimize
    Athena
    queries for operational and analytical reporting.
  • Integrate Athena with S3/Iceberg for low-cost, serverless analytics.
  • Manage Glue Data Catalog integrations and table schema management.

5. Storage (S3) & Data Lake Architecture

  • Design secure, cost-efficient
    S3 data lake
    structures (bronze/silver/gold zones).
  • Implement data lifecycle policies, versioning, and partitioning strategies.
  • Ensure data governance, metadata quality, and security (IAM, Lake Formation).

6. Telecom Domain Expertise

  • Understand telecom-specific datasets such as:
  • CDR, xDR, subscriber data
  • Network KPIs (4G/5G tower logs)
  • Customer lifecycle & churn data
  • Billing & revenue assurance
  • Build models and pipelines to support
    network analytics, customer 360, churn prediction, fraud detection
    , etc.

7. Performance Optimization & Monitoring

  • Tune Spark/Glue jobs for performance and cost.
  • Monitor Redshift/Athena/S3 efficiency and implement best practices.
  • Perform data quality checks and validation across pipelines.

8. DevOps & CI/CD (Preferred)

  • Use
    Git, Code Pipeline, Terraform/CloudFormation
    for infrastructure and deployments.
  • Automate pipeline deployment and monitoring.

Required Skills

  • 3–10 years' experience
    in data engineering.
  • Strong hands-on experience with:
  • AWS S3, Athena, Glue, Redshift, EMR/Spark
  • Apache Iceberg
  • Python/SQL
  • Experience in
    telecom data pipelines
    and handling large-scale structured/semi-structured data.
  • Strong problem-solving, optimization, and debugging skills.

Good to Have Skills

  • Knowledge of
    AWS Lake Formation
    ,
    Kafka/Kinesis
    ,
    Airflow
    , or
    Delta/Apache Hudi
    .
  • Experience with ML workflows in telecom (churn, network prediction).
  • Exposure to
    5G network data models
    .

Thanks and Regards,

Schiffer Felix

Talent Acquisition Executive| UK & Europe

Ampstek Services Limited

Sontraer Str , Frankfurt am Main, Hessen Germany

Tel

Email - /

LinkedIn -

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