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Chief Data Architect

3 weeks ago

Guntur, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Engineer Role

We are seeking a seasoned Senior Data Engineer to design and optimize data solutions that power our analytics, reporting, and Member 360 initiatives.

  • Design, build, and maintain robust ETL pipelines using Snowflake, Matillion, and Python.
  • Develop and optimize data models to support analytics and reporting across the organization.
  • Implement and maintain medallion architecture (Bronze, Silver, Gold layers) for scalable data processing.
  • Write complex SQL queries for data manipulation and analysis.
  • Collaborate with stakeholders to understand data requirements for strategic initiatives.
  • Integrate data from core banking systems (e.g., Fiserv) and other financial platforms.
  • Ensure data quality, governance, and security across all pipelines.
  • Use Python for data transformation, automation, and orchestration tasks.
  • Troubleshoot data issues and optimize data pipelines for performance.

Requirements:

  • 10–15 years of experience in data engineering, with a strong focus on ETL development.
  • Hands-on expertise with Snowflake, Matillion, and Python.
  • Experience in designing and implementing data models using medallion architecture.
  • Must have knowledge of banking and credit union data domains.
  • Expertise in working with core banking systems like Fiserv.
  • Experience implementing medallion architecture (Bronze, Silver, Gold) for data organization and management.
  • Advanced skills in SQL for complex queries, performance tuning, and data manipulation.
  • Understanding of data security and governance in financial institutions.

Preferred Skills:

  • Experience with data analytics and business intelligence tools like Power BI.
  • Knowledge of regulatory requirements in banking and credit union sectors.
  • Experience working in a financial institution or with financial data.

Key Performance Indicators:

The ideal candidate will be able to design, implement, and maintain efficient data pipelines that meet the needs of our analytics and reporting initiatives. This includes developing and optimizing data models, ensuring data quality, governance, and security, and troubleshooting data issues.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.