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Manage and optimize our data analytics infrastructure (Databricks and Snowflake), including monitoring, troubleshooting, and maintaining high availability. Microsoft Azure certifications, such as Azure Solutions Architect Expert or Azure DevOps Engineer Expert, are preferred.
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Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration. Utilize Snowflake and Databricks for advanced reporting and analytics, providing actionable business insights.
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Over the past two decades, Indium has built deep relationships with Fortune 500, Global 2000, as well as born-digital companies across industries such as BFSI, Healthcare, Manufacturing & Retail, and Digital Native & Technology — in North America, India, Europe, and APAC. It has also built strong partnerships with leading hyperscalers, low-code, and data partners such as AWS, Azure, GCP, Mendix, Striim, and Databricks.
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Solid understanding of cloud platforms (Azure, AWS, or GCP) and their integration with Databricks. Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark.
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Write sophisticated and efficient code to transform raw data sources into easily accessible models by coding across several languages and tools such as SQL, Python, Spark, Databricks, Airflow, Azure, AWS, etc.
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Design and develop modern real-time solutions with Scala, PySpark, and Azure Databricks. 3 + years of experience with Azure Databricks, Stream Analytics, Eventhub, Kafka. Net | Design locations 5 Locations time type Full time posted on Posted 30+ Days Ago Senior Product Software Engineer | Azure | Fullstack C# | Angular locations 13 Locations time type Full time posted on Posted 2 Days Ago Product Software Architect | Application Architect | Vue.js | SQL locations 10 Locations time type Full time posted on Posted 30 Days Ago.
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Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage.
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Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
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Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks Apache Spark and/or Azure Databricks. Hands on experience in performance tuning and optimizing code running in DataBricks, Talend or similar ETL tools.
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Work with big data technologies like Azure Databricks, Apache Spark & Palantir. Proficient in Azure services such as Azure Blob Storage, Azure Synapse Analytics, Azure Databricks, and Azure Functions.
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Expert knowledge of Azure tools and services centered around data and analytics (Data Lake, Data Factory, Azure Databricks, Azure SQL). - Deep experience in assessing the requirements for Azure cloud based solution (ADLS, Databricks, monitoring services.
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Build Databricks notebooks using SQL, Python, Scala or PySpark programming languages for data transformation and loading in Azure Data Lake environment. Architect data and design data patterns and data solutions on Azure Cloud, Azure Synapse and Databricks by using data modeling tools including Erwin.
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Nice to have: Hands-on experience with some of the data analytics products such as Spark, Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg.
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Demonstrated experience with technologies such as Databricks, Synapse, Azure Data Factory, Event Hubs, and Azure Devops. Proficiency in big data processing, including Apache Spark or Databricks.
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Experience with Cloud Platforms, including Azure Data Lake Storage (ADLS), Unity Catalog, Databricks, and Azure Synapse, with a strong understanding of metadata management, security principles, and fundamental cloud concepts.
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