Senior Data Engineer (with Snowflake) @ Transition Technologies PSC
Transition Technologies PSCŁódź, Poland23 dni temu
Opis pracyExperience : 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
Nice to have :
- NoSQL, vector databases
- IoT data streaming (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] Requirements : Snowflake, Python, AWS, ETL / ELT, CI / CD, Docker, Kubernetes, SQL, NoSQL, Vector Databases, Kafka, Kinesis, PySpark Additionally : 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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Senior Data Engineer • Łódź, Poland
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