Sr. Data Engineer  

The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data engineering solutions that support the migration from legacy big data platforms to modern, cloud-based data environments. The role ensures reliable data operations while enabling ongoing and new business initiatives.

• Experience
  • At least 8 years of total Data Engineering experience, with strong exposure to large-scale data pipelines, ETL/ELT development, and enterprise or cloud-based data platforms.
  • Proven experience designing, building, and optimizing scalable data solutions in modern data environments.
• Knowledge
  • Python – At least 4 out of 5 proficiency level, with strong hands-on experience in data transformation, automation, and pipeline development.
  • SQL – At least 3 out of 5 proficiency level, with demonstrated capability in complex queries, data modeling, and performance tuning.
  • Experience working with modern data cloud platforms, such as Databricks and/or Snowflake.
  • Experience with cloud services, preferably Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Storage, etc.).
  • Platform and Cloud Exposure - Currently working with or has recent hands-on experience in enterprise-grade cloud data ecosystems. With strong understanding of cloud-native data architecture and best practices.
• Soft Skills
  • Strong verbal and written communication skills
  • Demonstrated leadership and technical influence
  • Strong analytical, critical thinking, and problem-solving abilities
  • Process orientation with the ability to enforce standards and best practices
  • Strong organizational, multitasking, and time-management skills
  • Stakeholder and cross-functional collaboration skills