Talent.com
Senior Data Engineer (with Snowflake)

Senior Data Engineer (with Snowflake)

TRANSITION TECHNOLOGIES PSC S.APoznań, Greater Poland, Poland
28 dni temu
Opis pracy

technologies-expected :

  • Python
  • Snowflake Data Cloud
  • Amazon AWS
  • SQL

responsibilities :

  • Design, build, and maintain scalable data pipelines (ETL / ELT) leveraging Snowflake and Airflow
  • Implement optimized schemas, partitioning, and indexing strategies in Snowflake and relational databases
  • Develop data processing workflows and automation scripts in Python and SQL; integrate with APIs and microservices
  • Ensure scalability, performance, and resilience of pipelines; implement observability for jobs and data flows
  • Partner with data scientists and ML engineers to deliver high-quality datasets optimized for AI / ML workloads
  • Prepare, transform, and manage datasets for embeddings, RAG workflows, and LLM fine-tuning
  • requirements-expected :

  • Experience : A minimum of 5-7+ years in data engineering, preferably supporting AI / ML applications and hold B.Sc., B.Eng., or higher, or equivalent in Computer Science, Data Engineering or related fields
  • Experience with Snowflake
  • Programming : Proficiency in Python, SQL and vector database native languages
  • Databases : Experience with relational databases
  • Cloud Platforms : Hands-on experience with AWS (OpenSearch, S3, Lambda) or Azure (Azure AI Search, Azure Blob Storage, Azure Automation)
  • ETL / ELT Pipelines : Experience building scalable ETL / ELT workflows using dbt, Apache Airflow, or similar
  • APIs & Microservices : Ability to design and integrate RESTful APIs for data exchange
  • Data Security & Governance : Understanding of encryption and role-based access controls
  • Version Control & DevOps : Familiarity with Git, CI / CD, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation)
  • Generative AI Support : Experience working with AI-specific data needs, such as embeddings, RAG (Retrieval Augmented Generation), and LLM fine-tuning data preparation
  • offered :

  • Flexible forms of employment and working hours (CoE or B2B)
  • An interesting, challenging job in the dynamically developing Capital Group company;
  • Work on innovative projects using modern technologies;
  • Direct impact on shaping the image of the Capital Group's companies on the market;
  • Possibility to develop competences in a wide range;
  • Attractive salary;
  • Stability of employment and a friendly work atmosphere;
  • Cool benefits, among others integration meetings, internal company competitions, fruit Tuesdays, sweet Thursdays and much more;
  • benefits :

  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • flexible working time
  • fruits
  • integration events
  • no dress code
  • video games at work
  • coffee / tea
  • leisure zone
  • holiday funds
  • baby layette
  • christmas gifts
  • birthday celebration
  • sharing the costs of a streaming platform subscription
  • employee referral program
  • charity initiatives
  • family picnics
  • Utwórz powiadomienie o ofertach pracy dla tego wyszukiwania

    Senior Data Engineer • Poznań, Greater Poland, Poland

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