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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Experience working with Google Cloud, AWS / AWS AI and ML, AWS Lambda, Amazon Lexbots, and Microsoft Azure.
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Develop technical solutions utilizing big data and cloud based technologies and ensuring they are designed and built to be sustainable and robust. Job Purpose and ImpactThe Sr. Data Engineer will design, build and operate high performance data centric solutions utilizing the comprehensive big data capabilities for the company's data platform environment.
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Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud.
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Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.
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Strong experience with various data management paradigms such as relational (SQL), big data (like Hadoop and Spark) and NoSQL (for example Azure Cosmos DB, AWS DynamoDB, Google Firestore, MongoDB, Cassandra.
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As a engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Maintain data integrity and access control by using AWS security tools and services such as HSM, IAM, etc.
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Build and maintain data engineering solutions on cloud platforms using hyperscaler services (GPC, AWS, Azure). Experience with data warehousing platforms (e.g., Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark.
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Experience with big data platforms (AWS, Athena, Hadoop, etc) Knowledge of cloud computing platforms such as AWS, Google Cloud, or Azure. You’ll be working directly with our leaders and alongside some of the best and brightest in Data Science and Customer Strategy & Success.
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Hands-on experience in cloud and big data technologies such as Azure Synapse Analytics, Azure Data Factory, Notebooks & Azure SQL database. Evaluate new technologies and define how to maximize the benefits of same such as near real-time/real-time data streaming/data pipelines, cloud big data technologies/cloud data warehouses, data lakes etc.
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Join us on our transformation journey in becoming a world-class IT organization at the world's best airline The Solutions Architect owns architectural technical design, decisions, and direction for their portfolio, specifically AWS and big data solutions within our revenue and loyalty product organization.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. This role involves close collaboration with data scientists, software engineers, and product managers to create scalable AI-driven products.
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As a lead engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Manage and optimize data streaming and API components in OpenShift Onpremise and AWS.
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Strong understanding of distributed systems, big data technologies (Hadoop, Spark, Kafka), and cloud platforms (AWS, GCP, Azure). Proficiency in cloud services for scalable data solutions, with a preference for experience in Google Cloud Platform (GCP.
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Deep understanding of the operations of AWS cloud platforms. 3+ years of related DevOps, SysOps engineering experience with focus on major cloud platforms (AWS preferred.
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Required Skillset " Manage and optimize data streaming and API components in OpenShift Onpremise and AWS. " Proactively review the applications APIs and processes to identify opportunities to optimize the response times for various application components.
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