Careers
The key to any successful firm is its employees. AlmIT thinks that a strong workforce equals a strong company. AlmIT often organizes training sessions and evaluations to improve staff members’ technological, managerial, process, and personality skills. Peer reviews, group discussions, get-togethers, and mentoring new employees are all examples of corporate practices that strengthen employee bonds and the employer-employee relationship.
Requirements: WANT TO GO HIGHER IN IT CAREER?
Professionals with experience working in the IT sector using a variety of technologies may be found at almIT.
The market, demand, and your interests all factor into choosing the best technology for you. We’ll offer advice on how to choose the best technology from Backend Systems, Middleware, Mobile, Cloud, and UI Systems.
Experienced specialists will deliver interactive training of the highest caliber.
All training sessions will be recorded, posted, and made available on the almIT website.
In addition to technology training, you will also receive awareness of business practices and procedures so that you will feel at ease while working on actual projects.
Upon completion of the course, you will work with a team in the pertinent stream to implement live projects at all stages of the software development life cycle process. In terms of putting initiatives into action, this will provide excellent comfort.
Technology-related certification will enhance your IT career. This will work well for choosing resources for a project. To take the certification test, you will receive training and direction.
Aspirants are encouraged to post blogs, do analyses, and respond to issues raised in public forums. You will receive votes and a global community’s attention as a result of this.
Send us your profile if you would. Visit this link to email us
Cloud Data Engineer
Take a leap into high paying data engineering career within 3 months
One of the fastest-growing industries in technology right now is data engineering. High job satisfaction, a variety of creative challenges, and the opportunity to work with developing technology are all benefits of being a data engineer. Not to mention the excellent pay: data engineers alone make an above-average income in the United States. The fact that data engineering positions are expanding by 60% annually is not surprising.
Additionally, the Data Engineering Career Track is perfect for software engineers, data scientists, and data analysts (including recent graduates) who wish to change careers and pursue a career in cloud data engineering.
Our program is designed for hybrid mode i.e. both in-person & online; with an industry expert who will guide you through each & every step, Our course work & projects have been created with real-world business use cases in mind. Key initiatives from our end are providing students with below:
- Mentorship and advice. One-on-one mentorship from an industry expert who will provide assistance, career advice, and insight via regular sessions.
- Career support and guidance. Our Industry expert & Recruitment Team supports students in their job search. This includes helping you prepare for interviews, networking and facilitating your transition into the tech industry. Additionally, you will work with your mentor to practice interview skills and learn how to showcase projects to potential employers.
Target Role: Cloud Data Engineer
Alternative Roles:
- Data Engineer
- Analytics Engineer
- Data Scientist
- Data Analyst
- BI Engineer
- BI Architect
- Cloud Data Architect
- Azure Data Architect
- Artificial Intelligence/Machine Learning Specialist
- Gen AI/Applied AI Engineer
- ML Ops Engineer
- Data Ops Engineer
- Big Data Engineer
- Azure Data Engineer
Month 1: Foundation and Cloud Basics, Big Data
Week 1: Cloud Fundamentals
- Cloud Basics
- Azure Basics
- Hands-on Cloud Labs
Week 2-3: Data Storage, Databases & Programming
- Programming – Python
- Database – SQL
- No-SQL
- Document DB
- Blob Storage
- Hands-on Programming & Querying exercises
Week 4: Big Data Technologies
- Modern data warehouse (MDW)
- Big Data on Cloud
- Logical data warehouse(LDW)
- Azure Databricks
- Dimensional Modeling
- Hands-on Spark exercises
Month 2: Advanced Data Engineering Topics and Projects
Week 5: ETL/ELT Using Cloud Tools
- Azure Data Factory
- Alteryx
- Dataiku
- Synapse Pipelines
- Big Query
- Data Proc
Week 6: Streaming Data Processing & API
- Spark Streaming
- Azure Stream Analytics
- Azure Event Hubs
- Apache Kafka & Kafka Streams API
Week 7: Lakehouse & Data Fabric
- Lakehouse architecture
- Azure Synapse Analytics
- Azure Data Lake Storage
- Azure Databricks
- Azure Data Fabric
Week 8: Data Governance & Administration Tool
- CI/CD DevOps, Data OPS
- Databricks Administration
- Data Governance – Azure Purview/Unity Catalog
- Domain Projects & Hands-on Exercises
Month 3: AI, ML, Data Science & Advanced Analytics
Week 10-11: Analytics, Reporting & Dashboarding (2 Weeks)
- Dashboard/Analytics Best Practices
- PowerBI
- Tableau
- QlikSense
- PowerBI Data Flow (Light ETL)
- Tableau Prep (Light ETL)
Week 12-13: Machine Learning Basics (2 Weeks)
- Introduction to Python for data science
- Statistics for Data Science
- Data Wrangling and Preprocessing
- Feature engineering, Exploratory Data Analysis (EDA)
- Machine Learning and Modeling- Supervised learning, Unsupervised learning
- Model evaluation and validation
- Advanced Machine Learning
- Ensemble methods. Neural Networks and Deep Learning
Week 14: AI, ML, Data Science & GenAI (1 Week)
- Azure ML Studio
- Cognitive Analytics – NLP, Vision AI, Video AI, Image Processing
- Open AI/LLMs – Prompt Engineering(ChatGPT Business Use Cases)
- ML OPS (Productionalize ML Models)
- RPA – Power Automate
- Dataiku
Hands-on Projects in Tools:
- Cloud Native Projects – Azure (Greenfield Projects)
- On-Prem to Cloud Migration Projects
- Domain Specific Projects – Manufacturing/ HealthCare/ Retail
- Business Unit Specific Projects – Marketing/Sales etc
- External/3rd Party Data Projects – Google Analytics
Interview Prep:
- Star Scenarios
- Projects Walkthrough
- Technology Questions
- Mock Interviews with Industry Experts
Certifications:
(You will be assigned 3-4 Certifications Depending on the Role)
- Microsoft Certified: Azure Data Engineer Associate(two exams, DP-200 and DP-201)
- Microsoft Certified: Azure Data Scientist Associate(one exam, DP-100)
- Microsoft Certified: Azure AI Engineer Associate(one exam, AI-100)
- Azure Enterprise Data Analyst Associate – Certifications
- Microsoft Certified: Power BI Data Analyst Associate
- Tableau Certified Data Analyst
- Python Certification/Course Work
- Exam AI-900: Microsoft Azure AI Fundamentals
- Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
- Microsoft Certified: Azure Data Scientist Associate
- Exam DP-100: Designing and Implementing a Data Science Solution on Azure
CLOUD DEVOPS ENGINEER
Market Research and Why DevOps as a career path?
- A DevOps engineer is responsible for leading and coordinating the activities of different teams to create and maintain a company’s software. The term DevOps is derived from development and operations and is a set of practices aiming to increase the efficiency of the software development lifecycle through collaboration.
- The end goal of a DevOps engineer is to shorten the software development process and increase the efficiency of the software releases unite operations and development teams and facilitate more releases.
- As of 2023, the average base salary for DevOps Engineers in the US is $104,095 per year. Glassdoor estimates the total pay value to be around $132,767.
- This is a fast-growing technology in the market as more companies are adopting this methodology and moving to agile/scrum practices from traditional waterfall development cycles.
Course Design and Structure-
- This course is designed to train the candidate on a hybrid basis over a period of three months where he will be good at fundamental concepts and able to start working on projects.
- Career advice, planning, and mentorship are included as part of this.
- Certification support
- The candidate will also be able to build good communication and will be able to network with industry experts in the field.
Understanding the Public Cloud Market
- Based on a Gartner research in April 2023, worldwide end-user spending on public cloud services is forecasted to grow 21.7% to a total $597.3 Billion in 2023, up from $ 491 billion in 2022.
- Gartner also predicts that by 2026, 75 percent of organizations will adopt a digital transformation model predicated on the cloud as the fundamental underlying platform.
- Market shares of the three public clouds constitute 65 percent in the first quarter of 2023; Microsoft has bridged the gap between itself and AWS while Google has shown many advancements in the field of Generative AI and machine learning.
- Q1 2023 Market share of Google Cloud is 10 percent.
- Q1 2023 Market Share of Azure is 23 percent
- Q1 2023 Market Share of AWS is 32 percent
- All other clouds(Alibaba, Salesforce, IBM, Oracle) constitute 35 percent in Q1 2023
Target Role- Cloud DevOps Engineer
Other Alternate Roles
- DevOps Engineer
- Cloud engineer
- Linux System Administrator
- System Administrator
- Kubernetes Administrator
- Terraform engineer
Week 1- SDLC and DevOps
- SDLC
- What is DevOps?
- Benefits of DevOps
- Key Terms of DevOps
- DevOps Tools
Week 2-3 – Cloud Concepts
- Cloud Concepts
- Compute
- Networking
- Storage
- Data Storage services
- Identity Access Management (IAM)
- Security
- Monitoring
- Pricing
- Deployment Services
Week 4 – Linux Fundamentals
- Linux Command Line Basics
- Linux File System
- Linux Network Connectivity
- Working with Users/Groups
- Linux Server
Week 5 – Infrastructure AS Code (Terraform)
- Terraform
- Installing Terraform
- Terraform Workflow
- Writing basic configuration in Terraform
- Validating the deployment
- Modules
- Functions & Looping with Terraform Code
Week 6 – Containerization
- Docker overview
- Getting Docker
- Docker commands
- Deploying a containerized app
- Microservices and Docker Swarm
Week 7 – Orchestration (Kubernetes)
- Introduction
- Kubernetes Architecture
- Local Kubernetes Lab
- Working with pods
- Working with services
- Working with Deployments
Week 8-9 Certifications Week — (Prepare for basic certifications this week)
- AZ 900 Microsoft Azure Fundamentals
- Google Cloud Associate Engineer
Week 11 – Basic level certification has to be completed.
Week 12- Configuration Management (Salt/Ansible)-optional week)
- Course Overview
- Salt Architecture
- Installing Salt Master and Salt Minion
- Simple Salt states
Positions Hiring:
Sr. Software Developer (Plano, TX)
Designing, developing, customizing, and implementing enterprise applications utilizing JIRA, Spring, SpringBoot, Microservices, Azure, REST, SQL, IntelliJ, Java, in Spring Framework and cloud environment; conceptual, logical, and physical design of relational database management systems of the applications utilizing SQL/NoSQL DB; configure of Apache Tomcat as web/application servers for deployment of developed application; direct and participate in all aspects of software developed life cycle (SDLC); implement version controls utilizing TFS, VSS, SVN (GitHub).
Travel to various unanticipated worksites.
Must have bachelor’s in computers / Information Systems / Electronics / Electrical / Related + 5 year exp. as Software Developer / Application Developer / Consultant / System Analyst /Related.
Respond to President, almIT Services Inc., 5700 Tennyson Pkwy, Suite # 300, Plano, TX 75024
