A growing data engineer who supports the Senior Data Engineer in building and operating the ingestion and transformation pipelines that feed the platform. Key Responsibilities Build and maintain ETL/ELT pipelines for FedEx, customer and third-party data sources under guidance. Write and optimize SQL and Python transformations on Databricks and Postgres. Implement data-quality checks and help monitor pipeline health. Assist with graph and ontology data loads and documentation of data assets. Must-have Skills & Technologies Solid SQL and Python. Exposure to Databricks / Spark and cloud data pipelines. Understanding of ETL/ELT concepts, relational modelling and Postgres. Prior Experience 1–3 years in a data engineering or analytics-engineering role (internships and strong project work count). Eagerness to learn lakehouse, streaming and graph technologies. Nice to Have Any exposure to Azure, Event Hub, or data governance tooling. #J-18808-Ljbffr
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