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Valtech
Valtech
5.001 – 10.000 Angajați
Sponsor pentru viza H1BConsultanțăMarketingSaaS
Valtech este o agenție digitală globală care ajută organizațiile să îmbunătățească experiențele clienților și să își dezvolte afacerile digitale. Activitatea sa reunește tehnologia, marketingul, datele și inteligența artificială pentru a sprijini inițiativele comerciale, transformarea digitală a întreprinderilor și îmbunătățirea performanței de marketing. Cu echipe și birouri în întreaga lume, Valtech colaborează cu companii pentru strategii digitale, inovarea experiențelor și utilizarea practică a datelor în vederea construirii unor viitoruri digitale mai eficiente.
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Locurile de muncă ale companiei

Senior Data Engineer Remote in North Macedonia at Valtech

Join Valtech as a Senior Data Engineer building cloud data platforms that support analytics, AI, GenAI, and data products. The role focuses on scalable pipelines, lakehouse architecture, governance, and reliable data delivery.

MKMacedonia de NordRemoteNormă întreagăSeniorLimbă Obligatorie: englezăInginer de date
AirflowApacheAWSAzureCloudGoogle Cloud PlatformKafkaPythonSparkSQLTerraform

Descriere

  • Build and optimize cloud data platforms for analytics, AI, and data products
  • Develop dependable batch, streaming, and near-real-time pipelines with tools such as Spark and Delta Lake
  • Create ingestion, transformation, and curation workflows for structured and unstructured data
  • Implement lakehouse architectures and medallion layers using Databricks or Fabric
  • Provide curated datasets for analytics, machine learning, causal modeling, and optimization
  • Develop GenAI data flows involving LLMs, RAG, vector search, and agents
  • Design scalable logical and physical data models
  • Orchestrate workflows with Airflow, dbt, Databricks Workflows, Azure Data Factory, or comparable tools
  • Apply practices for data governance, lineage, quality, access control, and security
  • Establish monitoring for data freshness, pipeline reliability, and SLA performance
  • Support data-serving layers such as APIs, feature inputs, and analytical endpoints
  • Optimize pipelines and infrastructure for performance, scalability, and cost efficiency
  • Clarify and refine business requirements with stakeholders
  • Work with data scientists, ML engineers, analysts, platform teams, and business stakeholders
  • Support data-product adoption and advance data and AI ecosystem practices

Cerințe

  • Senior-level experience in data engineering
  • Hands-on expertise with Apache Spark and Delta Lake
  • Strong Python and SQL programming skills
  • Demonstrated experience building batch and streaming data pipelines
  • Experience delivering production-ready data platforms
  • Solid knowledge of data modeling, data quality, and governance principles
  • Hands-on experience with AWS data services and Databricks Lakehouse, or Microsoft Azure/Fabric services and tooling
  • Deep expertise in at least one AWS or Azure/Fabric platform track
  • Experience with lakehouse architectures and distributed data systems
  • Strong understanding of pipeline scalability, reliability, and performance
  • Strong problem-solving ability and a collaborative approach to cross-functional work
  • Snowflake or GCP familiarity is helpful but not required
  • Experience in Agile or consulting environments is beneficial
  • Additional value includes experience across AWS and Azure/Fabric, GenAI and AI data systems, CI/CD for data pipelines, Terraform or CloudFormation, Kafka, Spark optimization, advanced analytics, ML workloads, data products, or large-scale analytics platforms
  • No educational credential is specified

Beneficii

  • Private health insurance
  • Training and certification through an education program
  • Wellbeing program
  • Complimentary coffee, drinks, and snacks at work
  • Company dinners
  • Company activities such as ski trips, karting, laser tag, wine tasting, picnics, and cooking classes
  • Competitive salary
  • 24 vacation days
  • Annual events for the entire team
  • Challenging projects
  • Inclusive culture with support for professional growth
  • Open feedback culture
  • Reasonable interview accommodations

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