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.