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Mid-level, popular data engineering role in metro locations increases applicant density.
Core data engineering skills are highly transferable across industries despite life-sciences domain context.
Requires specific cloud, big-data and NoSQL skills but no explicit years, so moderate filtering.
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Provide technical guidance and support for Cloud-based Data Lake and Data Mesh environments throughout the solution lifecycle, including troubleshooting complex issues.
Develop, implement, and optimize scalable, secure cloud solutions and data pipelines for Big Data platforms to handle high volume and velocity data streams.
Tune Big Data/NoSQL environments and implement mixed batch/near-real time architectures to enhance data processing, analytics, and machine learning capabilities.
Experience with cloud-based Big Data platforms, Data Lake and Data Mesh environments, and distributed cloud computing.
Proven ability to tune Big Data and NoSQL environments and optimize distributed jobs for performance.
Strong skills in developing scalable and secure cloud data solutions supporting batch and near-real time architectures.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end cloud data solution design, implementation, and optimization in high data volume environments.
Capable of providing technical leadership and client-facing support including training, presentations, and workshops.
Skilled in handling complex troubleshooting and tuning for data processing and analytics in distributed systems.