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Mid-level metro Data Engineer title plus niche Snowflake/Databricks skills yields medium competition.
Data engineering skills are broadly transferable, but Snowflake/Databricks specialization raises fit sensitivity to medium.
Explicit 5-8 years plus mandatory Snowflake and Databricks implies medium strictness.
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Design, develop, and manage scalable data solutions primarily on Snowflake and Databricks platforms.
Optimize SQL queries within Snowflake and build data warehouse solutions handling structured and unstructured data formats (JSON, CSV, XML, Excel).
Integrate data solutions with BI tools such as Tableau and collaborate using version control (GitHub, SVN) and ticketing systems (Jira).
5-8 years of experience in data engineering with proven experience building and managing data solutions.
Proficiency in Snowflake, Databricks, and data warehouse development.
Familiarity with AWS cloud and Linux environments.
Location requirement: Pune, Maharashtra, India.
Experienced in optimizing SQL queries specifically in Snowflake environments.
Skillful in integrating data pipelines with BI reporting tools, preferably Tableau.
Capable of managing data solutions lifecycle including version control and issue tracking in collaborative engineering environments.