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Azure Data Engineer (Lead) with skills Oracle ADF, Azure Data Factory, synapse, databricks, Azure Datalake for location Bangalore, India Experience in building ETL / data warehouse transformation processes Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks.
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We need someone with strong Microsoft Cloud experience, including Azure, and deep exposure with tools such as Snowflake and/or Databricks. You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB.
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What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Experience with Azure cloud services, Databricks, Apache Spark, Delta Live Table, ML Flow, Unity Catalog. As a Data Engineer in Everi Games division, you will be building scalable and highly optimized data infrastructures and pipelines using Azure and Databricks.
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6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) Expert on Databricks platform - DLT Streaming Pipelines, Workflows, Notebooks, DeltaLake, Unity Catalog, Dashboards.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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SKILLS: Background in working with Azure Cloud Services: Data Factory, SQL database, Functions, Data Lake, Databricks, Logic Apps, and Azure Automation. RESPONSIBILITIES: Design data pipelines to extract data from different data sources using Azure, Snowflake Cloud, and cloud-native technologies.
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Hands-on experience with IAM tools and platforms, such as Microsoft Azure AD, Okta, SailPoint, BeyondTrust, CyberArk or similar is required. Experience with managing identity protection solutions like Crowdstrike Falcon Identity protection, Azure Identity Protection or similar is highly desirable.
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3 Required Knowledge and skill using Microsoft Azure DevOps and Git required, with emphasis on deployment, version control and project tracking. 5 Preferred Experience utilizing Microsoft Azure DevOps and Git.
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As a Senior Azure DevOps Engineer, you'll design and manage scalable cloud infrastructure on Microsoft Azure, automate infrastructure provisioning and configuration, establish CI/CD pipelines, manage containerized applications, implement Infrastructure as Code, and optimize Azure resources.
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Familiarity with Microsoft technologies such as: Azure (Cloud Platform, Data Lake, Services Bus), PowerBI, PowerApps, Flow,. Sound knowledge with: Logic App, PowerApps, Event Hub, Power Automate, Message Services (SOAP / REST, XML, JSON, EDI), Messaging technologies, Cloud Knowledge (Azure/AWS), Version Control (Azure DevOps, GitHub, TFS), and API technologies.
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Experience with DevOps processes and platforms such as GitHub, Terraform, Kubernetes, Helm, as well deployment in major cloud environments (AWS, Microsoft Azure, Google Cloud Platform.
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Preferred 2 years - Hold one or more Cloud certifications such as AWS Certified Solutions Architect, or Microsoft Azure Architect Design and/or equivalent work experience. Required 5 years - Experience with Cloud architecture and design (Azure, Google, AWS.
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