Lead Data Engineer - Azure

Skills
Azure Data FactorySnowflakeDbtSqlSnowSqlDataStageNetezza
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Strong experience with Azure Cloud Platform services
  • Proven expertise in Azure Data Factory for orchestrating and automating data pipelines
  • Proficiency in SQL for data analysis and transformation
  • Hands-on experience with Snowflake and SnowSQL for data warehousing
  • Practical knowledge of DBT for transforming data in the warehouse
  • Experience working in cloud-based data environments with large-scale datasets
  • Bachelor’s degree in Data Engineering or a related field
  • 8+ years of experience in data engineering roles using Azure and Snowflake
  • Strong problem-solving communication and collaboration skills

Nice to have

  • Technical leadership
  • Mentorship
  • Problem-solving
  • Collaboration
  • Cloud-native mindset

Day to day

  • Design and develop robust ETL and ELT pipelines across Azure Data Factory Snowflake and DBT.
  • Build reliable data integration workflows that move and transform data from multiple sources into Snowflake.
  • Partner with stakeholders data analysts architects and DevOps teams to deliver scalable cloud-native data solutions while mentoring junior engineers.