Job Description

Design, develop, and maintain efficient and reliable data pipelines using modern ELT tools like DBT, Fivetran, Matillion, Talend, or Ab Initio.

• Implement data transformations and cleansing processes to ensure data quality and accuracy.
• Build and optimize data models for cloud data warehouses like Databricks, Snowflake, or Redshift.
• Write complex SQL queries for data extraction, transformation, and loading.
• Develop and maintain shell or Python scripts for automation and data processing.
• Monitor and troubleshoot data pipelines to ensure optimal performance and stability.
• Collaborate with data scientists and analysts to understand their data needs and provide support.
• Stay up-to-date with the latest data engineering trends and technologies.
• Contribute to the development of data engineering best practices and standards.
• Participate in code reviews and ensure code quality.
• Work closely with the infrastructure team to deploy and manage data pipelines.