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Akkodis is looking for two experienced Azure Cloud Engineers to join a high-performing team focused on building and optimizing cloud-native data and analytics platforms. These roles will involve designing, deploying, and managing scalable solutions using Azure services, Databricks, and Kubernetes, with a strong emphasis on automation and data governance. Key responsibilities include managing cloud infrastructure, developing data solutions, and collaborating with teams to ensure integration and deployment best practices.

Digital Sarthi Software Solutions is looking for a Data Engineer to design, build, and optimize scalable data pipelines to support various use cases such as Research Digitization, Banking, Global Markets, and Data Monetization. The ideal candidate will also develop and operationalize data products that integrate both structured and unstructured sources, including alternative data. Additionally, they will deploy, manage, and performance-tune large-scale Spark workloads on Databricks, ensuring that these systems are reliable, scalable, and cost-efficient.

83zero is looking for a Data Engineer. The ideal candidate will have experience in Data Engineering with Databricks, including Spark programming using Scala and Python, and SQL, as well as knowledge of Delta Lake. Familiarity with Azure Data Lake for data ingestion and ETL/ELT frameworks is essential. You should also have expertise in Data Governance, Metadata, and Data Quality alongside a good understanding of Data Modelling concepts. Experience with Unity Catalog or similar components for Data Governance management is highly valued.