Kony Developer

We are looking for a talented and competitive Marketing Manager, who has experience working with Healthcare or SaaS product companies, to join our team. This role will play a fundamental role in achieving our ambitious customer acquisition and revenue growth objectives.
You will be responsible for understanding the RCM and PI market landscape, identifying
your target audience, and collaborating to create the strategic positioning, targeting
plan, and channel mix to meet your category’s pipeline target.

The ideal candidate should be a self-starter who thrives in a fast-paced environment.

Responsibilities:

• Evaluating and optimizing marketing and pricing strategies.
• Analyzing market trends and preparing forecasts.
• Generating new business leads.
• Increasing brand awareness and market share.
• Coordinating marketing strategies with the sales, financial, public relations, and production departments.
• Developing and managing the marketing department's budget.
• Overseeing branding, advertising, and promotional campaigns.
• Managing the marketing department's staff.
• Preparing and presenting quarterly and annual reports to senior management.
• Promoting our brand at trade shows and major industry-related events.
• Keeping informed of marketing strategies and trends.

Requirements:

• Bachelor's degree in marketing, finance, business administration, or similar.
• A master's degree in a relevant field will be advantageous.
• At least 4 years' experience as a marketing manager.
• Extensive knowledge of marketing strategies, channels, and branding.
• Superb leadership, communication, and collaboration abilities.
• Exceptional analytical and problem-solving skills.
• Strong time management and organizational abilities.

Title/Role: Python Django Consultant

Experience: 8+ Years

Work Location: Indore / Pune /Chennai / Vadodara

Notice period: Immediate to 15 Days Max

Key Skills: Python, Django, Crispy Forms, Authentication, Bootstrap, jQuery, Server Side Rendered, SQL, Azure, React, Django DevOps

Job Description:

• Should have knowledge and created forms using Django. Crispy forms is a plus point.
• Must have leadership experience 
• Should have good understanding of function based and class based views.
• Should have good understanding about authentication (JWT and Token authentication)
• Django – at least one senior with deep Django experience. The other 1 or 2 can be mid to senior python or Django
• FrontEnd – Must have React/ Angular, CSS experience
• Database – Ideally SQL but most senior has solid DB experience
• Cloud – Azure preferred but agnostic
• Consulting / client project background ideal.

Django Stack:

• Django
• Server Side Rendered HTML
• Bootstrap
• jQuery
• Azure SQL
• Azure Active Directory
• Server Side Rendered/jQuery is older tech but is what we are ok with for internal tools. This is a good combination of late adopter agile stack integrated within an enterprise. Potentially we can push them to React for some discreet projects or pages that need more dynamism.

Django Devops:

• Should have expertise with deploying and managing Django in Azure.
• Django deployment to Azure via Docker.
• Django connection to Azure SQL.
• Django auth integration with Active Directory.
• Terraform scripts to make this setup seamless.
• Easy, proven to deployment / setup to AWS, GCP.
• Load balancing, more advanced services, task queues, etc.

KIME Careers is an Ed-Tech company that deals in distance learning programs and enrols students for the same for Universities. We bridge the distance between a working professional and college. with an aim to help a working professional decide the right career path towards excellence and growth through the best University Portfolio and prepare them to derive exceptional skills and competence to sustain in ever-evolving and challenging markets.

PROFILE – BUSINESS DEVELOPMENT EXECUTIVE ROLES & RESPONSIBILITIES- • Identifying opportunities for new Business Development through Lead Generation. • Co-ordinate pre-sales and post-sales follow up. • Presenting our product to potential clients. • Closing sales and working with the client through the closing process. • Building long term trusting relationships with clients. • Achieving Monthly targets. • Creating and maintaining a database of prospect clients; maintain a database ( Salesforce, Excel ) of prospective client information • Inside sales & Outdoor meetings if required. SKILLS REQUIRED

• Good Communication and Presentation skills. • Enthusiastic and Spontaneous. • Passionate about Sales.

QUALIFICATIONS REQUIRED-

 Graduates/ Post Graduates.

Job Description

Role:- Software engineer - front end

About the company:-We are a social learning platform that allows us to learn the way we learn best. If our children are going to learn online we will have to make it social. That’s how learning happens best. We think we’re amongst the first few companies in the world trying to push the boundaries of edtech to a new era of highly social & community driven learning.

 Responsibilities:-

You will be responsible for taking end-to-end ownership of the development of beautiful, fast, and responsive mobile and web applications. You will have attention to detail. You will care about the quality of code, design patterns and testability. You will be working closely with designers, product managers and engineers to build products that will delight our educators, students and parents.

HTML, CSS and JavaScript ninja
Patient debugging skills
Using state of the art developer toolkit
React JS / React Native / Vue.js
Curiosity to remain updated with the newest technologies and frameworks

Role- Software Development Engineer-2

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

• You write high quality, maintainable, and robust code, often in Java or C++ or C#
• You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
• Roles & Responsibilities
• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.

About Amazon.com

“Many of the problems we face have no textbook solution, and so we-happily-invent new ones.” – Jeff Bezos

Amazon.com – a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.

Technological innovation drives the growth of Amazon, offering our customers more selection, convenient shopping, and low prices. Amazon Web Services provides developers and small to large businesses access to the horizontally scalable state of the art cloud infrastructure like S3, EC2, AMI, CloudFront and SimpleDB, that powers Amazon.com. Developers can build any type of business on Amazon Web Services and scale their application with growing business needs.

We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification