Sequantix | Data Engineer

6 days ago


india Sequantix Full time

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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