Senior Data Engineer – Snowflake & Big Data

Senior Data Engineer

Job Summary:

We are seeking a highly skilled and motivated Senor Data Engineer with 5–7 years of experience in Big Data platforms and at least 2 years of hands-on experience in designing and implementing data warehouse (DWH) solutions on Snowflake. The ideal candidate will have strong expertise in cloud-based data services (preferably Azure), distributed computing frameworks, and robust ELT/ETL development, with a solid understanding of modern data engineering practices in a DevOps environment.

Key Responsibilities:

• Design, develop, and optimize data warehouse solutions on Snowflake
  

• Migrate large-scale data from on-premise systems (preferably Big Data platforms) to Snowflake cloud DWH
  

• Build and maintain efficient ELT/ETL pipelines, ensuring performance tuning, robustness, and quick issue resolution
  

• Perform in-depth data analysis and provide optimized solutions for complex data challenges
  

• Utilize Apache Spark, Hadoop, and other distributed computing frameworks as required
  

• Work closely with stakeholders to define data integration strategies, standards, and best practices
  

• Implement data modeling, data standardization, and advanced SQL querying for analytics and reporting
  

• Collaborate in Agile teams (Scrum/Kanban), contributing to sprint planning, reviews, and retrospectives
  

• Mentor junior data engineers and contribute to the growth and scalability of the data engineering practice
  

Required Skills:

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