Experience with a broad range of security technologies and processes, including but not limited to threat modeling, vulnerability management, static and dynamic application security testing, software composition analysis, application and/or cloud security posture management, penetration testing, and bug bounty programs.

Experience configuring cloud and hybrid network s in Amazon Web Services, Google Cloud Platform, or Microsoft Azure. Candidates with industry standard certificates such as CompTIA Network+, Security+, or Cisco CCNA , CCNP , etc.

Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions). Must Have Technical/Functional Skills Staff Data Engineering role - someone with hands on experience with cloud infrastructure, PySpark/Spark(strong), Snowflake, Matillion, CICD, basic software engineering, data engineering, etc.

Keywords: Sales Cloud, Service Cloud, Marketing Cloud, Business Central, Microsoft Dynamics Business Central, Microsoft Dynamics Finance & Operations, Dynamics F&O, Microsoft Finance and Supply Chain Management, Microsoft F&SCM, Microsoft Dynamics 365, Dynamics 365 CRM, Microsoft Customer Experience Platform, Business Analyst, BA, Requirements Gathering, User Experience, User Enablement, Data Visualization, Software, Custom Applications, Data Analytics, Cloud Strategy, D365.

Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake) Must have practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.

Certifications:Possess at least one relevant cloud certification (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Administrator Associate). Infrastructure as Code (IaC): Utilize Terraform to define and manage cloud infrastructure as code, ensuring consistency, repeatability, and traceability across environments.

Main Responsibilities: Understand Orbia’s overall Cloud portfolio, IT and business priorities and success measures to design implementation architectures and scalable cloud solutions leveraging expertise in Cloud infrastructure and Application solutions (Windows and Linus IaaS, SAP, VMWare, BCDR, Security, Management, Storage, Networking, OSS, HPC, containers, Infra as a Code services , PaaS, DevOps & Advanced Application coding.

Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers; Build, maintain, improve, scale, and secure cloud infrastructure and resources using IaC tools (Terraform, CloudFormation, Ansible.

These teams focus on exploring big industry game-changing technologies such as crypto currencies, artificial intelligence, virtual/augmented reality & cloud computing. Experience with cloud-native architectures, microservices, and serverless computing.

As a Senior Cloud Engineer, you will be responsible for spearheading the cloud workload expansion to Azure, deploying and maintaining our vast infrastructure using IaC tools, developing automation and software solutions for fellow teams at State Street , integrating new tools and technologies to boost efficiency and meet new challenges, and working with other engineers, architects, and managers to continue innovating in all the cloud efforts of the team.

With Cognizant SAP, there are diverse career opportunities available to candidates due to our strong ecosystem of Hyperscalers (Microsoft, Google, AWS etc), Partnership with next gen technology providers like BluePrism, Automation anywhere; as well as companies like Syniti, Signavio and Qualtrics and of course, across SAP technologies and products like S/4HANA, Cloud & Technology ECC, SuccessFactors, BTP, Signavio, CX and Digital Commerce and Analytics.

Professional experience in at least 1 cloud data warehouse (Snowflake preferred) and at least 1 cloud platform (GCP preferred). Tags: Python, SQL, databricks, Azure, AWS, Snowflake, Workato, GCP, Scala, Data Engineer, Senior Data Engineer, Lead Data Engineer.

Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Required Skills: Proficiency in programming languages - Java, JavaScript frameworks (Angular / React),Python (Current generation front-end and back-end languages) Cloud-native and agnostic designs and architectures across AWS and Azure AWS Stack – S3, Glue, EMR, Redshift, DynamoDB, Kinesis, Lambda, Athena etc.

Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc. Integration Services: Informatica Cloud, Airflow. Cloud-based services (AWS, Azure.

Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.