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
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