Senior Data Engineer

Role Summary

We are seeking a highly skilled Senior Data Engineer with 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflakeand hands-on experience with Python, PySpark, AWS, and Airflow for building scalable, high-performance data platforms. The role demands strong technical leadership, problem-solving capabilities, and the ability to collaborate effectively with cross-functional teams to deliver robust data engineering solutions.

Key Responsibilities

• Design, develop, and optimize data pipelines and data models using Snowflake for enterprise analytics and reporting
  


• Write and optimize complex SQL / PL‑SQL queries, procedures, and transformations to support large‑scale data processing
  


• Build and optimize enterprise data warehouse solutions on Snowflake.
  


• Develop data ingestion, transformation, and orchestration workflows using Python, PySpark, and Airflow.
  


• Develop and optimize complex SQL queries, stored procedures, views, streams, and tasks in Snowflake.
  


• Implement scalable cloud-based data solutions leveraging AWS services.
  


• Ensure data quality, governance, security, and compliance across the data platform.
  


• Perform query tuning, performance optimization, and cost optimization within Snowflake.
  


• Automate deployment and monitoring through CI/CD and DevOps practices.
  


• Collaborate with business stakeholders, architects, analysts, and engineering teams to translate business requirements into technical solutions.
  


• Troubleshoot production issues and implement preventive measures to enhance platform reliability.
  

Preferred Experience

• Experience in large-scale cloud data migration initiatives.
  


• Strong understanding of enterprise data architecture and modern data platforms.
  


• Experience working with structured, semi-structured, and unstructured data.
  


• Exposure to Banking, Financial Services, or other large enterprise environments will be an added advantage.
  


• Experience in leading technical discussions and mentoring engineering teams.