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Metro locations plus a generic 'Software Engineer I' title increase competition despite Snowflake/Databricks specialization.
Core data engineering skills (SQL, Snowflake, Databricks, Python) are easily transferable across industries.
Mandatory Snowflake, Databricks, SQL and Python skills with explicit 0–3 years requirement create moderate filtering.
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Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using SQL, Snowflake, Databricks, and Python.
Develop and optimize data processing and transformation scripts to ensure data quality and reliability for business decision support.
Collaborate with business stakeholders and engineering teams to document and implement data requirements and technical designs.
0–3 years of experience in software development or data engineering.
Strong knowledge of SQL and relational database concepts; hands-on experience with Snowflake and Databricks.
Proficiency in Python for data processing and automation.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
Has foundational experience working with modern data platforms and building ETL/ELT workflows in a production environment.
Experienced in integrating data solutions using Snowflake, Databricks, and Python, with aptitude for troubleshooting data pipeline issues.
Capable of collaborating across teams to translate business needs into technical data requirements and documentation.