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About the Role
Job Summary
We’re looking for a Data Engineer with solid experience in building and managing robust data pipelines, cloud data platforms, and large-scale data systems. This role focuses on ensuring the seamless movement, transformation, and accessibility of data across the organization. A strong background in Databricks, along with Python, SQL, and cloud infrastructure (particularly Azure), is essential. The ideal candidate understands both the technical and business sides of data and can translate requirements into scalable, efficient solutions that support analytics and decision-making.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines for ingesting and transforming data from diverse sources.
Build and optimize data architectures using tools like Databricks, ensuring high performance and reliability.
Integrate data from APIs, cloud storage, third-party systems, and relational and non-relational databases.<...
We’re looking for a Data Engineer with solid experience in building and managing robust data pipelines, cloud data platforms, and large-scale data systems. This role focuses on ensuring the seamless movement, transformation, and accessibility of data across the organization. A strong background in Databricks, along with Python, SQL, and cloud infrastructure (particularly Azure), is essential. The ideal candidate understands both the technical and business sides of data and can translate requirements into scalable, efficient solutions that support analytics and decision-making.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines for ingesting and transforming data from diverse sources.
Build and optimize data architectures using tools like Databricks, ensuring high performance and reliability.
Integrate data from APIs, cloud storage, third-party systems, and relational and non-relational databases.<...
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