Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level Data Engineer in a metro with popular skills and typical experience attracts high applicant competition.
Data engineering skills are broadly transferable, though Snowflake/Databricks specialization moderately narrows industry fit.
Mandatory Snowflake/Databricks skills and explicit 5-8 years requirement make filters highly strict.
Design, develop, and manage scalable data solutions primarily on Snowflake and Databricks platforms.
Optimize SQL queries within Snowflake and contribute to building and maintaining data warehouse architectures.
Integrate data solutions with BI tools (e.g., Tableau) and collaborate using version control and ticketing systems.
5-8 years of experience in data engineering with hands-on experience in Snowflake, Databricks, and data warehouse development.
Familiarity with AWS cloud environment and Linux operating systems.
Experience with SQL query optimization in Snowflake and handling structured/unstructured data formats (JSON, CSV, XML, Excel).
Location requirement: Pune, Maharashtra, India.
Experienced data engineer comfortable working with cloud-based data platforms and modern data warehouses.
Skilled in end-to-end data pipeline development and optimization in Snowflake and Databricks environments.
Familiar with BI tool integration and collaborative workflows involving GitHub/SVN and Jira.
