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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.
विवरण
- 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
आवश्यकताएँ
- 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
लाभ
- 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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