Sequantix | Data Engineer
6 days ago
We are seeking experienced Data Engineers with expertise in solution architecture and engineering to join our team for a strategic project focused on expanding and enhancing a Generative AI MVP for frontline banking scenarios. The role will involve data engineering, migration, and optimization tasks, leveraging Databricks and AWS platforms.
Key Responsibilities:
- Solution Architecture and Engineering:
- Design and implement scalable and efficient data engineering pipelines in Databricks .
- Architect data solutions that align with AWS cloud infrastructure and integrate with Generative AI models like Llama 3 .
- Data Migration:
- Migrate large-scale transactional datasets (50k+ rows and columns) from SQL on-premises to Databricks and AWS S3/Redshift .
- Ensure data quality, integrity, and security during migration.
- Data Integration & Optimization:
- Build and optimize data pipelines for various use cases, including transactional data for cards and business banking .
- Collaborate with data scientists and Generative AI engineers to integrate structured and unstructured data for AI-driven solutions.
- Performance Tuning:
- Fine-tune the performance of data pipelines and models for real-time or batch processing.
- Optimize Databricks clusters for cost efficiency and speed.
- Collaboration:
- Work closely with the Generative AI engineering team to expand the MVP into additional scenarios for frontline bankers.
- Partner with stakeholders to gather requirements and provide insights to shape data solutions.
Required Skills & Experience:
- Technical Expertise:
- 5+ years of hands-on experience in Databricks and AWS platforms (AWS S3, Glue, Redshift, etc.).
- Strong experience in data migration from on-premise SQL environments to cloud platforms.
- Proficient in SQL, Python, and PySpark for data engineering tasks.
- Knowledge of data modeling, ETL/ELT processes, and data architecture best practices.
- Generative AI Integration:
- Experience working with AI/ML teams to support data needs for AI-driven applications (preferred).
- Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and ability to work in cross-functional teams.
Preferred Qualifications:
- Experience with Llama 3 or similar Generative AI platforms.
- Familiarity with AWS-native services for machine learning and analytics.
- Knowledge of CI/CD pipelines for data workflows.
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