Senior Data Engineer with Snowflake

3 tygodni temu

Białystok, podlaskie, Polska Transition Technologies PSC Pełny etat

Responsibilities:Design, build, and maintain scalable data pipelines (ETL/ELT) leveraging Snowflake and AirflowImplement 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 microservicesEnsure scalability, performance, and resilience of pipelines; implement observability for jobs and data flowsPartner with data scientists and ML engineers to deliver high-quality datasets optimized for AI/ML workloadsPrepare, transform, and manage datasets for embeddings, RAG workflows, and LLM fine-tuningRequirements: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 fieldsExperience with SnowflakeProgramming: Proficiency in Python, SQL and vector database native languagesDatabases: Experience with relational databasesCloud 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 exchangeData Security & Governance: Understanding of encryption and role-based access controlsVersion 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 preparationNice to have:NoSQL, vector databasesIoT data streaming (Kafka, Kinesis, PySpark etc).What can we offer: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;

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