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Entry-level metro data role with common tools and a generic software title increases applicant competition.
Core data engineering skills (SQL, Snowflake, Databricks, Python) are highly transferable across industries.
Mandatory Snowflake, Databricks, SQL, Python and explicit 0–3 years enforce moderate filtering.
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Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using SQL, Snowflake, Databricks, and Python.
Optimize data queries, monitor data pipeline performance, and troubleshoot issues to ensure high data quality and reliability.
Collaborate with stakeholders and teams to understand data requirements and support data validation, testing, and documentation.
0–3 years of experience in software development or data engineering.
Strong knowledge of SQL and relational database concepts; hands-on experience with Snowflake, Databricks, and Python.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
Work Experience Required: 0-3 years as explicitly mentioned in the JD.
Comfortable working with modern data platforms in a data engineering or software development capacity.
Experience in building and managing data pipelines and transformations using cloud-related technologies like Snowflake and Databricks.
Capable of collaborating across teams to translate business requirements into technical data solutions.