Business Development Executive

Company Description

Established in the year 2000, KGiSL Educational Institutions is the brainchild of Dr. Ashok Bakthavathsalam, founder and managing director of KG Information Systems Private Limited (KGISL).

Branded as the pioneers in industry-embedded education in the region, KG Group of Institutions at Saravanampatti boasts of being the only campus that fosters the perfect integration of institute – industry infrastructure in an environment of perfecting learning.

Role Description

This is a full-time, on-site role for a Program Mentor located in Coimbatore. The Program Mentor will guide and assist students in their academic and professional development. Responsibilities include mentoring students, conducting workshops, providing individual and group support, assisting with curriculum planning, and tracking mentee progress. The mentor will also collaborate with the faculty and administration to provide insights and feedback on program improvements.

Qualifications

• Mentor students in C and Python programming concepts and best practices
• Strong mentoring and coaching skills, with the ability to guide students toward their goals
• Experience in planning and conducting workshops or training sessions
• Excellent written and verbal communication skills
• Ability to collaborate effectively with faculty, students, and stakeholders
• Organizational and time management skills to track and support student progress
• Prior experience in an educational or related field is advantageous
• BE / B. Tech degree is preferred with CSE and IT background

Sr. User Experience (UX) Designer

Preferred Experience & Expertise: • 

Bachelor’s degree in the fields of Computer Science, Information Technology, Mathematics, Statistics, or any UX related subjectssuch as digital design/media, digital marketing, graphic design, media technology, and web design. 

Relevant experience of at least 2 years in lieu of above if from a different stream of education.  

Well-versed in and 2+ years of hands-on demonstrable experience with UX Research and UX Design 

Hands-on development experience in tools like Adobe XD, Photoshop, Illustrator, or any relevant tools. 

2+ years of hands-on development experience in one or more libraries, frameworks, & technologies such as React JS, HTML5, CSS3, D3, Ant Design, Vis.js, Chart.js, etc.; extra points if you can demonstrate your knowledge with working examples. 

2+ years of hands-on development experience in JavaScript & TypeScript. 

Familiarity with the domains of Data Management & Governance Business Process & Workflow Management ▪ Cloud Computing Infrastructure & Platforms (AWS/Google Cloud/Azure) 

Ability to understand software product vision, objectives, capabilities, and features; and translate into digital experiences 

Artistic eye for design with ability to think creatively 

Accuracy, attention to detail and mastery of information, navigation, and visual design  Mathematical & statistical aptitude and strong problem-solving skills to determine experiential solutions to UX/UI challenges in the domains of visual data modeling, visual workflow modeling, data browsing, data editing, statistics driven charting, graphs, etc. 

An understanding of the latest trends in UX and self-development skills to keep up to date with such fast[1]changing trends 

Excellent interpersonal and communication skills to communicate ideas to developers.

Multi-tasking and time management skills, with the ability to prioritize tasks .

Ability to work both independently and in a team.

Professional approach to time, costs, and deadlines

Job Location : Pune/Remote

Work Timings : 2.30 pm-11:30 pm

Joining Period : Immediate-20 days

Job Description:

As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:

Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.

Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.

Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.

Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.

Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.

Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.

Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.

Skills and Qualifications:

Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.

Proficiency in designing and developing data pipelines and ETL processes.

Solid understanding of data modeling concepts and database design principles.

Familiarity with data integration and orchestration using Azure Data Factory.

Knowledge of data quality management and data governance practices.

Experience with performance tuning and optimization of data pipelines.

Strong problem-solving and troubleshooting skills related to data engineering.

Excellent collaboration and communication skills to work effectively in cross-functional teams.

Understanding of cloud computing principles and experience with Azure services.

Looking for Dot Net Developer| Gurgaon to join a team of rockstar developers. The candidate should have a minimum of 3+ yrs. There are multiple openings. If you're looking for career growth & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers).

Company Background - CodeVyasa is a Software Product-Engineering and Development company that helps Early-stage & Mid-Market Product companies with IT Consulting, App Development, and On-demand Tech Resources. Our Journey over the last 3 years has been nothing short of a roller-coaster. Along our way, we've won some of the most prestigious awards while driving immense value to our customers & employees. Here's the link to our website (codevyasa.com). To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q1 2024

Requirements:

•  Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
•  Minimum of 3 years of experience as a Dot net, c#.
•  Proficiency in Dot net core development.
•  Strong knowledge of SQL Server, API.
•  Aptitude for learning new technologies quickly.
•  Good problem-solving and analytical skills

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.