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Certifications: Relevant certifications, such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect, showcasing a commitment to ongoing professional development.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Good to Haves: E xperience deploying and operating RedHat OpenStack and/or RedHat OpenShift platforms Experience engineering and/or operating SAN or C EPH storage systems 5 years' experience with administering and operating HPE/Dell hardware and firmware 3 years VoIP (voice over IP) and Telco experience Proficiency in coding such as Python for automation playbooks Experience designing, building, and operating Kubernetes platforms desired, but not required.
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2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform.
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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. The tech stack is primarily Java, AWS serverless, EMR, EC2, and ECS with services written in Scala, Spark, and Python, and uses Snowflake as our Database.
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Strong experience with open-source statistical programming tools (Python/R) for analysis and data visualization. (Google Cloud Platform, Amazon Web Services, Microsoft Azure)Experience with data visualization tools.
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The ideal candidate will have a strong technical background in Terraform, Cloud Data Analytics, Python, and building data platforms in Azure which will align successfully in the organization.
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3 years of technical knowledge and/or experience using various data visualization (e.g. SAS/Tableau) and data wrangling tools (e.g. Python, R, SQL, SAS, Alteryx) Knowledge of Data lake, snowflake, AWS, Azure - cloud platforms is a plus.
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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Experience in Data Migration from RDBMS to Snowflake cloud data warehouse. Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python / Java.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Snowflake DBT Data Engineer. Design & Development using Snowflake as a skill. Experience on DBT CORE. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Integration of DLP platforms with other security, data base, and workflow solutions via PowerShell, Python, PHP, BASH, JavaScript, and SQL. Expertise in development with web and programming languages including PowerShell, python, PHP, BASH, JavaScript, and SQL.
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C#, Rust, Python, Golang). Hiring team's priority is Golang however if you are unable to find someone with Golang, they are open to review candidates with strong hands-on experience with these languages (C#, Java, Python) - MUST HAVE.
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