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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Experience in data engineering or data science on Google Cloud Platform. Bachelor's or master's degree in computer science, Software Engineering, Data Science or related field, or equivalent practical experience.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Working knowledge and skills in cloud container services (e.g. GKE, EKS, AKS), storage services (e.g. EBS), and database services (e.g. RDS); digital or infrastructure deployments that includes managing projects related to highly virtualized solutions, digital convergence, outsourcing or systems integrations, network engineering, and cybersecurity.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Bachelor's degree in quantitative field (statistics, software engineering, business analytics, information systems, aviation management or related degree) The Product Analytics team at United Airlines is on a transformational journey to unlock the full potential of enterprise data, build a dynamic, diverse, and inclusive culture and develop a modern cloud-based data lake architecture to scale our applications, and drive growth using data and machine learning.
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As part of the Customer Engineering organization in Google Cloud, Principal Architects lead cross-functional teams of experts to help customers design, plan, implement, and govern enterprise cloud strategies.
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5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake. Leverage AWS cloud services for data storage, processing, and analytics, optimizing cost and performance with CloudFormation and Jenkins.
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Minimum education and experience required: Bachelor's degree in Information Technology, Computer Information Systems, Computer Science, Computer Engineering, or related field of study plus 5 years of experience in the job offered or as a Software Engineer, Architect, Module Leader, Developer, Programmer Analyst, or related occupation.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Proficiency with digital marketing tools and platforms such as Google Analytics, Google Ads, Facebook Ads Manager, and email marketing software such as Eloqua, Marketo or HubSpot.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Any level of experience with Utilize technical skills including Spark, Python, Java, Scala, SQL, RESTful APIs and Cloud Services including EMR, Keyspaces, Elasticache, Terraform, Data Lake formation, Redshift and data streaming technologies including Apache Kafka, Kinesis to develop and manage multiple assignments, including large and critical data pipeline projects to assure timely and cost-effective deliveries.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage)." Google Associate Cloud Engineer or Data Engineer certification is a plus.
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The ideal candidate will have a strong background in cloud technologies, data processing, and building scalable and robust software systems. Bachelor's degree in Computer Science, Software Engineering, or a related field.
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Requires knowledge, skill and mental development equivalent to the completion of four years college, preferably with courses in computer science, management information systems, mathematics or statistics AND minimum of three years' experience as a Data Engineer.
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software engineering web content data computer information systems google cloud jobs Company: Walmart in Chicago, IL
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