Found Description
Lead data pipeline development as an Onsite DataOps Engineer. This position requires expertise in Databricks, AWS Glue, and Azure Data Factory to drive efficient data transformations.
We are seeking a DataOps Engineer to design, implement, and optimize data pipelines. This role emphasizes data manipulation and involves using Python, SQL, and cloud services like AWS and Azure. Candidates should have experience with data lakehouse architectures, ensuring effective management and analysis of structured and unstructured data.
Key Responsibilities: • Design and develop data pipelines with Databricks and AWS Glue • Transform complex data using various tools like Azure Data Factory • Create data models for warehouse and lakehouse environments • Collaborate in full SDLC, from requirements to deployment • Support data reporting and visualization initiatives
Requirements: • Proven experience in data engineering with Python and SQL • Proficient with Databricks and data ...
We are seeking a DataOps Engineer to design, implement, and optimize data pipelines. This role emphasizes data manipulation and involves using Python, SQL, and cloud services like AWS and Azure. Candidates should have experience with data lakehouse architectures, ensuring effective management and analysis of structured and unstructured data.
Key Responsibilities: • Design and develop data pipelines with Databricks and AWS Glue • Transform complex data using various tools like Azure Data Factory • Create data models for warehouse and lakehouse environments • Collaborate in full SDLC, from requirements to deployment • Support data reporting and visualization initiatives
Requirements: • Proven experience in data engineering with Python and SQL • Proficient with Databricks and data ...
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