Job Description
Senior Developer – Databricks (Data Engineering)
CTSH is a leading professional services company, helping organizations modernize technology, reimagine processes, and transform experiences in a fast‑changing world. Responsibilities
Implement and maintain Databricks SQL, PySpark, and Databricks Workflows solutions for enterprise‑scale data processing. Collaborate closely with business and technology stakeholders to translate complex requirements into robust data architectures. Design and build end‑to‑end data architecture on Databricks to support scalable analytics and reporting. Develop PySpark‑based pipelines for large‑scale structured and semi‑structured data processing. Create high‑performance Databricks SQL models, queries, and semantic layers. Establish Databricks Workflows orchestration standards, including scheduling, dependency management, and monitoring. Code, test, tune performance, and monitor scalable, reliable data solutions. Apply data governance standar...
CTSH is a leading professional services company, helping organizations modernize technology, reimagine processes, and transform experiences in a fast‑changing world. Responsibilities
Implement and maintain Databricks SQL, PySpark, and Databricks Workflows solutions for enterprise‑scale data processing. Collaborate closely with business and technology stakeholders to translate complex requirements into robust data architectures. Design and build end‑to‑end data architecture on Databricks to support scalable analytics and reporting. Develop PySpark‑based pipelines for large‑scale structured and semi‑structured data processing. Create high‑performance Databricks SQL models, queries, and semantic layers. Establish Databricks Workflows orchestration standards, including scheduling, dependency management, and monitoring. Code, test, tune performance, and monitor scalable, reliable data solutions. Apply data governance standar...
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