16 часов назад
Senior Data Engineer (AI/GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI/GenAI) (Spark/Databricks/AWS/Azure): Building scalable cloud-based data platforms and batch, streaming, and near-real-time pipelines that support analytics, machine learning, GenAI, and data products with an accent on lakehouse architecture, data governance, and observability. Focus on designing production-grade datasets and serving layers, enabling RAG and agent-based systems, and optimizing reliability, scalability, and cost across AWS or Azure/Fabric.
Location: North Macedonia — Remote
Company
is an experience innovation company helping recognized brands create digital products and transform their customer experiences through data, AI, creativity, and technology.
What you will do
- Design, build, and optimize cloud-based data platforms and scalable batch, streaming, and near-real-time pipelines.
- Develop lakehouse architectures, medallion-layered datasets, ingestion workflows, and data-serving layers for structured and unstructured data.
- Enable analytics, machine learning, causal modeling, GenAI, RAG pipelines, vector-based data flows, and agent-based systems.
- Design data models and automate workflows using orchestration and transformation tools.
- Apply data governance, lineage, quality, access control, observability, and SLA monitoring practices.
- Collaborate with data scientists, ML engineers, analysts, platform teams, and business stakeholders to refine requirements and deliver production-grade data solutions.
Requirements
- Strong hands-on experience with Apache Spark, Delta Lake, Python, and SQL.
- Experience building production-grade batch and streaming pipelines and modern data platforms.
- Deep expertise in either AWS data services with Databricks or Azure/Fabric with Databricks or native Fabric tooling.
- Experience with lakehouse architectures, distributed data systems, data modeling, data quality, governance, scalability, and reliability.
- Strong problem-solving and analytical skills, curiosity about business requirements, and a collaborative approach to cross-functional work.
Nice to have
- Experience with both AWS and Azure/Fabric, Snowflake, or GCP.
- Experience with GenAI data systems, RAG pipelines, vector databases, LLM data preparation, or advanced ML workloads.
- Knowledge of CI/CD, Terraform, CloudFormation, Kafka, Spark optimization, or data products.
- Experience in Agile or consulting environments.
Culture & Benefits
- Inclusive, values-driven culture focused on creativity, diversity, autonomy, growth, and honest feedback.
- Private health insurance and an education program with training and certification opportunities.
- Wellbeing program, 24 days of vacation, and competitive conditions.
- Company events, social activities, free beverages, and challenging client projects.
Hiring process
- The Talent Acquisition team reviews applications based on skills, experience, and potential.
- Applications should include relevant experience and expertise; age, gender, marital status, and headshots are not required.
- Reasonable interview accommodations are available upon request.
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