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2 часа назад

Data Engineer (Scala/AWS)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer (Scala/AWS): Designing, building, and optimizing large-scale data pipelines within the telecom domain with an accent on Scala Spark, Databricks, and AWS cloud services. Focus on developing high-performance data platforms that enable network analytics, customer insights, real-time monitoring, and regulatory reporting.

Location: Hybrid in Sofia, Bulgaria

Company

hirify.global is a leading software and digital engineering services company with global market reach and capabilities, evolving to Tieto.

What you will do

  • Design, develop, and maintain scalable batch data pipelines using Scala, Databricks Spark, Databricks SQL, and Airflow.
  • Implement optimized ETL/ELT processes to ingest, cleanse, transform, and enrich large volumes of telecom data.
  • Ensure pipeline reliability, observability, and performance tuning of Spark workloads.
  • Build and manage data architectures leveraging AWS services (S3, Lambda, IAM, CloudWatch).
  • Implement infrastructure-as-code using Terraform.
  • Collaborate with cross-functional teams (Architecture, DevOps, Network Engineering, Business Intelligence) and document system designs.

Requirements

  • 4+ years of experience as a Data Engineer or Big Data Developer.
  • Strong proficiency in Scala and functional programming concepts.
  • Advanced experience with Apache Spark (batch processing, performance tuning, cluster optimization).
  • Experience with optimized SQL-based data transformations for analytics and machine learning workloads.
  • Hands-on experience with Databricks including notebooks, jobs, Delta Lake, and Unity Catalog.
  • Solid understanding of CI/CD practices with Git, Jenkins/Gitlab Actions.
  • Strong AWS skills: S3, Lambda, IAM, CloudWatch, and related services.
  • Experience with Airflow integration with AWS services for end-to-end orchestration across cloud data pipelines.
  • Experience with IaC tools: Terraform or CloudFormation.
  • English proficiency required.

Nice to have

  • Experience with MLflow.
  • Experience with Python.
  • Experience with DBT.
  • Experience with Snowflake.
  • Experience in the telecom sector.
  • Experience with an agile way of working.

Culture & Benefits

  • Belief in the power of diversity, equity, and inclusion for an inspiring workplace and innovation.
  • Commitment to openness, trust, and diversity to foster a positive team environment.
  • Opportunity to contribute to creating digital futures that benefit businesses, societies, and humanity.

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