Senior Engineer
Q1 Technologies
Job Description
Must Have Technical/Functional Skills
- Data Analytics / AI Engineer Job Description
- Top Skills High proficiency in Python and SQL
- ETL experience with Databricks using PySpark
- Data processing and analytics/AI in Databricks
- Strong understanding of algorithms, data structures, statistics, and mathematics
- GenAI, LLM deployment and monitoring
- Translating complex business problems into data analytics solutions
- Create data products in Databricks while leveraging AI-powered tools to enhance workflow automation, perform pattern recognition, analyze and generate content.
- Collaborate with business users and engineers to align data analytics solutions with business goals.
- Seeking an experienced Data Analytics/AI Engineer to join our team to:
- Required Technical skills Databricks Proficiency: Hands-on experience with AWS Databricks platform; knowledge of Spark performance and cost-optimization technics (partitioning, clustering, caching).
- Advanced SQL and Spark Skills: Proficiency in writing complex SQL queries and Spark code (Python/PySpark) for data manipulation, transformation, aggregation, and analysis tasks within Databricks notebooks.
- GenAI and LLMs: Prompt engineering, RAG, experience leveraging Large Language Models (LLMs); familiarity with tools such as Amazon SageMaker and Bedrock.
- Data Engineering & Processing: Experience building ETL pipelines and working with big data frameworks.
- System Integration and Deployment: Deploy AI models and integrate them with existing systems via APIs.
- Data Visualization: Using data visualization tools (Tableau, Power BI) to create interactive dashboards and communicate insights.
- Cloud Computing and MLOps: Proficiency in deploying models using AWS; familiarity with Domino.
- Data Lab, GitLab CI/CD Data Governance and Security: Understanding of data governance principles and implementing security measures to ensure data integrity, confidentiality, and compliance within the centralized data lake environment.
Vacancy posted 2 days ago
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