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Generalist Data Engineer title and common skills increase applicant density despite mid-tier employer.
Data engineering skills (SQL, Python, ETL, Databricks) are widely transferable across industries.
Mandatory Databricks, SQL and Python skills raise screening strictness without explicit years requirement.
Design, build, and maintain data pipelines and engineering workflows using SQL, Python, and Databricks.
Manage and deliver assigned data engineering tasks independently from the project backlog.
Ensure data accuracy, reliability, and operational efficiency including data ingestion, transformation, integration, and quality assurance.
Strong experience with SQL and Python programming skills.
Hands-on experience with Databricks platform.
Solid understanding of data engineering concepts, including pipeline development, automation, and data integration.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in handling multiple concurrent data projects involving ingestion, transformation, and integration.
Comfortable collaborating in distributed or global team environments while also able to work independently with limited oversight.
Familiar with data quality assurance, testing, and validation methodologies for maintaining data reliability.