About the Role
We are seeking a highly versatile Data Engineer (10+) with strong hands-on experience in Python and SQL. The ideal candidate will have proven expertise in building robust data pipelines and working across modern cloud data platforms such as Snowflake, Microsoft Fabric, or Databricks.
This role requires deep technical capability, strong problem-solving skills, and the ability to collaborate closely with analytics, engineering, and Devops.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines for structured and semi-structured data.
Write complex, high-performance SQL queries, stored procedures, and data transformations.
Develop data processing logic using Python for ingestion, transformation, and orchestration.
Work extensively with cloud-based data platforms such as Snowflake, Microsoft Fabric, and/or Databricks.
Ensure data quality, integrity, and performance across pipelines and downstream consumption layers.
Optimize data models and qu...
This role requires deep technical capability, strong problem-solving skills, and the ability to collaborate closely with analytics, engineering, and Devops.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines for structured and semi-structured data.
Write complex, high-performance SQL queries, stored procedures, and data transformations.
Develop data processing logic using Python for ingestion, transformation, and orchestration.
Work extensively with cloud-based data platforms such as Snowflake, Microsoft Fabric, and/or Databricks.
Ensure data quality, integrity, and performance across pipelines and downstream consumption layers.
Optimize data models and qu...
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