Senior Data Engineer (with Snowflake) @ Transition Technologies PSC
Transition Technologies PSCPolska, Województwo śląskie, Polska5 dni temu
Opis pracyNoSQL and vector databases IoT data streaming with Kafka, Kinesis, PySpark, etc. 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 Snowflake Python AWS ETL / ELT CI / CD Docker Kubernetes SQL NoSQL Vector Databases Kafka, Kinesis, PySpark
Senior Data Engineer (with Snowflake) @ Transition Technologies PSC Poland
- Minimum 5-7+ years in data engineering supporting AI / ML applications
- HoldB.Sc, B. Eng. or higher, or equivalent in Computer Science, Data Engineering or related fields
- Experience with Snowflake, Python, SQL and vector database native languages
- Experience with relational databases
- Hands‑on experience with AWS (OpenSearch, S3, Lambda) or Azure (AI Search, Blob Storage, Automation)
- Experience building scalable ETL / ELT workflows using dbt, Apache Airflow or similar
- Ability to design and integrate RESTful APIs for data exchange
- Understanding of encryption and role‑based access controls for data security & governance
- Familiarity with Git, CI / CD, containerization (Docker, Kubernetes) and IaC (Terraform, CloudFormation)
- Experience working with AI‑specific data needs such as embeddings, RAG and LLM fine‑tuning data preparation
Nice to have
Responsibilities
Requirements
Benefits : Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Free coffee, Playroom, Bike parking, Free snacks, Free beverages, In‑house trainings, Modern office, No dress code.
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