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Darwind is seeking a Data Engineer to design, build, and maintain data architecture for efficient collection, storage, and processing to empower analytics and decision-making. You will own ingestion, transformation, and storage layers end-to-end, building scalable pipelines while optimizing performance, reliability, and cost.
The role requires 4-6 years in data engineering or data analysis, strong SQL and Python skills, and experience with cloud platforms (Azure, AWS, GCP).
At Darwind, we believe that good data infrastructure is the foundation everything else gets built on. We're looking for a Data Engineer who is responsible for designing, building, and maintaining the architecture that allows for the efficient collection, storage, and processing of data. You play a crucial role in enabling high-quality data flows for analytics and decision-making.