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Computer network, db2, hadoop, information technology, information technology infrastructure library, machine learning, operating system, sql. Possess domain knowledge in one of the following domains: Public sector - SLED, Non-Profit, Higher Education, K-12.
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Proficiency in programming languages, including Python, Scala, PySpark, and T-SQL, and experience with database technologies PostgreSQL, SQL Server, etc. In-depth understanding of MDM concepts, data modeling, data integration, data quality, and data governance principles.
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Applicable industry certifications including those from Cisco, Palo Alto Networks, AWS, GIAC, etc. Applicable industry certifications including those from Cisco, Palo Alto Networks, AWS, GIAC, etc.
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Cloud Services: Experience with cloud platforms like AWS, Azure, or Google Cloud, and familiarity with DevOps practices. Language Expertise: 5+ years of strong proficiency in Python (Django, Flask) and Node.js, with a solid understanding of JavaScript/TypeScript.
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Knowledge of AWS Cloud platform and its native services that includes but not limited to EC2, ECS, EKS, S3 is required. Deep technical expertise in managing large middleware platforms that includes, Confluent Kafka and its products , IBM API Connect, Mulesoft, OpenShift & Kubernetes container platforms, Automating Springboot microservices deployments using Github Actions.
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Data/Reporting experience (SAS/SQL/Tableau) Data/Reporting experience (SAS/SQL/Tableau) Wells Fargo is seeking a Lead Business Execution Consultant within Cards and Merchant Services (CMS) Strategy & Production Support's Capacity Planning Team. Learn more about the career areas and lines of business at wellsfargojobs.com.
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Strong coding skills in Standard SQL.·Strong experience designing and architecting ETL processes and have hands-on experience leading data extraction, data cleansing, data mapping, data transformation, data loading, and data validation using tools like SSIS, Informatica.
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Java, Spring, Hibernate, Scala, Spark, Hadoop, Git, HBase, Unix, Docker, Maven, Ansible, Postgres and migration to AWS is expected down the road. Experience with AWS is a plusExperience with data modeling, data warehousing, and building ETL pipelines is a plusKnowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations is a plus.
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BASIC QUALIFICATIONS Bachelor’s degree Information Systems, Computer Science, Mathematics or experience in a related field Knowledge of SAP (SAP AFS, Retail, or FMS preferred), Business Objects and SQL Server.
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Nice-to-Haves · AWS Certifications: AWS Certified Solutions Architect, AWS Certified Security – Specialty, or other relevant certifications. Deep Instinct, the pioneer in applying Deep Learning to cybersecurity, is seeking a Director to spearhead our operations in the AWS Marketplace.
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Experience with at least one cloud provider solution (AWS, GCP) and understanding of serverless code development (GCP preferred) Experience with object-oriented/object function scripting languages: Python, Java, C.
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Sr AWS DevOps Engineer. As a Lead Software Engineer/SRE team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Proficiency in programming languages such as Python, Go (Golang), JavaScript, HTML, and CSS. Experience with cloud services like AWS or Azure, and data processing technologies like Spark and Kinesis.
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Experience with Streaming frameworks like Kafka , RabbitMQHands on experience with Cloud Platforms (AWS, GCP, or Azure)Experience in designing and implementing large-scale event-driven architecturesUnderstanding of data warehousing and data modeling techniquesExperience building and optimizing ‘big data’ data pipelines, architectures and data sets.
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AWS CDK, Terraform, CloudFormation) a plus. Knowledge of developing and deploying applications in public cloud (AWS, GCP or Azure) Exposure to Sybase (or other relational databases) alongside SQL.
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