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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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Proficient programming skills such as Python, R, SQL, C/C. Deep understanding of NLP and LLM concepts, including language modeling, text classification, sentiment analysis, token embeddings, etc.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Business intelligence, analytics, and machine learning technologies including SAS, R, Teradata, Hadoop, data science and visualization tools. Security concepts and technologies related to authentication (MFA, risk based authentication, biometrics, SAML, OAuth, OpenID Connect), authorization, encryption, data protection, threat prevention, and S-SDLC best practices including one-time-password (OTP), SSL, PKI, DDoS remediation, anti-malware detection, and application scanning.
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Experience with Python, R, Tableau, PowerBI, SAS, and other BI software. Areas of impact include, but are not limited to creating segmentation profiles, personas, Demand Segments, Hyperlocal, and data modeling to reach different audiences.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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NET, PowerShell Scripting, Python, JavaScript, CI/CD, Data Visualization, SSIS, SSRS, and Git/Azure DevOps. 3+ years’ experience in business analytics, data modeling or data engineering work.
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Experience with scripting technologies (PowerShell, Bash, Python, Azure Resource Manager Templates, Desired State Configuration, JSON) High-level fluency in one or more scripting languages (Python, Perl, or similar.
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Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
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Experience with popular Python frameworks such as Django, Flask or Pyramid. Role: Java/Python Developer. Writing scalable code using Python to create file-driven data pipeline. Creating REST API endpoints using libraries like FastAPI in Python.
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Strong strategy, data/analytics and reporting experiences, SAS/SQL and/or Python/R background, and extensive experience in combining/analyzing data from multiple large data sources to develop and implement credit control strategies.
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Hands-on experience in Qlik Sense development, dashboarding and data modeling and reporting (ad hoc report generation) techniques. Qlik Sense Consultant with Google Cloud Platform Looker. Hands-on experience in Qlik Sense development, dashboarding and data modeling and reporting (ad hoc report generation) techniques.
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Work with software development Citi's Cloud Networking Solution CNS (middleware platform developed in Java/Spring Boot), experience in Python, Golang is highly desirable. Work with software development Citi's Cloud Networking Solution CNS (middleware platform developed in Java/Spring Boot), experience in Python, Golang is highly desirable.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Security, Devops, Cloud, Devsecops, Threat model, Azure, Aws, Security architecture, Information security, Firewall, Risk assessment, Architecture, Kubernetes, Containerization, Security testing software, Git, Terraform, Python, Active directory, Cissp, Network security, Vulnerability, Vulnerability management, Cyber security, ci/cd, docker, ansible.
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