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Strong hands-on expertise in building Data engineering solutions using Apache Spark and Scala. Hands on experience working with Azure Cloud services like Azure Data Factory, Azure Data Lake Storage, Azure Even hub, Azure SQL, Azure Analytical services, Azure Cosmos DB.
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ADF, Snowflake, Snowflake on Azure Logic App, Azure BLOB Storage account, Data Engineering (Shared Service team) o Design and develop data pipelines using , Matillion or ADF and Snowflake o Hands on experience in designing and developing ETL Framework tables.
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Hands-on Experience with GCP Foundation, Storage bucket, Backup, Disaster Recovery, VPC networks, IAM, Stack driver, Troubleshooting, and Cloud Security, Cloud Run. Hands on experience with Cloud IaaS and DevOps Platforms like Terraform, Automation, or equivalent technology.
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Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
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Minimum 2 years of hands-on experience analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on GCP cloud using GCP/3rd party services.
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Proficiency in designing and managing data pipelines on GCP, using services like BigQuery, Cloud Dataflow, GKE and Cloud Pub/Sub. Experience in implementing security best practices on GCP, including identity and access management (IAM), encryption, and threat detection.
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Proven experience as a Data Architect, Data Modeler, or similar role with a focus on supporting Business Intelligence teams. We are seeking a highly skilled and motivated Data Architect to join our Business Intelligence (BI) team.
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Should have 5+ years' of experience in leading a team of data scientists, works closely with client's technical team to plan, develop and execute on client requirements providing technical expertise and project leadership.
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Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, Data Bricks) Job Title: Data Architect With apache Spark.
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Preferrable worked on Data Platforms like GCP, AWS and Azure in last 5 years. Good to have knowledge on Visualization like Power BI, Tableau, Qlik. Proven experience as a Data Architect and Project Manager in data analytics.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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5+ years of experience as an Enterprise or Solution Architect with a development background using Python or Java on the cloud. 5+ years of experience securing enterprise applications on public cloud service providers, including IaaS, PaaS, and SaaS, and performing Application Security assessments.
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