Senior Snowflake Data Engineer

8 hours ago

Vellore, Tamil Nadu, India beBeeData Full time ₹ 22,77,824 - ₹ 26,11,773

As a leading expert in data architecture, you will design and implement scalable data pipelines, models, and analytics solutions on Snowflake.

  • Develop comprehensive data governance frameworks to ensure compliance, security, and performance.

With a strong background in Matillion ETL, financial data modeling, and cloud services (AWS/GCP/Azure), you will create robust data models supporting BFSI use cases. Your expertise will enable the delivery of high-quality analytical datasets for business stakeholders, data scientists, and reporting teams.

Key Responsibilities:
  • Design, implement, and optimize Snowflake data warehouses, schemas, and data-sharing solutions.
  • Define and implement best practices around performance tuning, cost optimization, and data governance.
  • Create scalable data models supporting BFSI use cases (e.g., regulatory reporting, fraud detection, risk analytics).
  • Build, schedule, and monitor complex data pipelines using Matillion.
  • Optimize ELT workflows for large-scale BFSI data volumes (transactional, customer, risk, and compliance datasets).
  • Implement robust error handling, logging, and recovery mechanisms.
  • Translate BFSI data requirements into scalable Snowflake solutions.
  • Collaborate with business stakeholders, data scientists, and reporting teams to deliver analytical datasets.
Requirements:
  • Minimum 8 years of experience with over 6 years hands-on experience with Snowflake (data modeling, performance tuning, secure data sharing, resource monitors, streams & tasks).
  • Advanced Matillion ETL development (or similar cloud-native ETL tools).
  • Proficiency in SQL, Python, and cloud services (AWS/GCP/Azure).
  • Experience with CI/CD pipelines, Git, DevOps integration for data workflows.
  • Deep understanding of financial data models (customer 360, payments, credit/debit, claims, risk, fraud).
  • Exposure to BFSI regulations & compliance in data handling and reporting.
  • Experience delivering analytics for fraud detection, credit risk scoring, AML/KYC.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management.
  • Ability to lead data discussions with both business and technical teams.

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