Cyber Security Engineer

·      12+ years of professional experience in front-end development.

·      7+ years of hands-on experience with React.js and its ecosystem (Redux, Context API, Hooks, etc.)

·      Strong understanding of JavaScript (ES6+), HTML5, and CSS3.

·      Experience with RESTful APIs, GraphQL, and WebSocket integration.

·      Proficiency in modern build tools (Webpack, Vite, Babel, etc.).

·      Expertise in state management libraries (Redux, MobX) and React Query.

·      Solid understanding of UI/UX principles and responsive design.

·      Experience with testing frameworks (Jest, React Testing Library, Cypress, etc.).

·      Familiarity with modern CI/CD pipelines and version control tools (Git).

We are looking for an ambitious and energetic Business Development /Enterprise Sales person to help us expand our clientele. You will be the front of the company and will have the dedication to create and apply an effective sales strategy.

The goal is to drive sustainable financial growth through boosting sales and forging strong relationships with clients.

• Develop a growth strategy focused both on financial gain and customer satisfaction
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Promote the company’s products/services addressing or predicting clients’ objectives
• Prepare sales contracts ensuring adherence to law-established rules and guidelines
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support
• Build long-term relationships with new and existing customers

• Proven working experience as a business development manager, sales executive or a relevant role
• Proven sales track record
• Experience in customer support is a plus
• Proficiency in MS Office and CRM software (e.g. Salesforce)
• Proficiency in English
• Market knowledge
• Communication and negotiation skills
• Ability to build rapport
• Time management and planning skills

The Sr AWS/Azure/GCP Databricks Data Engineer at Koantek will use comprehensive

modern data engineering techniques and methods with Advanced Analytics to support

business decisions for our clients. Your goal is to support the use of data-driven insights

to help our clients achieve business outcomes and objectives. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and

patterns, insights, and trends to decision-makers. You will help design and build data

pipelines, data streams, reporting tools, information dashboards, data service APIs, data

generators, and other end-user information portals and insight tools. You will be a critical

part of the data supply chain, ensuring that stakeholders can access and manipulate data

for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. You are expected to function as a productive member of a team, working and

communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers. Requirements:

 Strong experience as an AWS/Azure/GCP Data Engineer and must have

AWS/Azure/GCP Databricks experience.  Expert proficiency in Spark Scala, Python, and spark

 Must have data migration experience from on-prem to cloud

 Hands-on experience in Kinesis to process & analyze Stream Data, Event/IoT Hubs, and Cosmos

 In depth understanding of Azure/AWS/GCP cloud and Data lake and Analytics

solutions on Azure.  Expert level hands-on development Design and Develop applications on Databricks.  Extensive hands-on experience implementing data migration and data processing

using AWS/Azure/GCP services

 In depth understanding of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib

 Hands-on experience with the Technology stack available in the industry for data

management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc

 Hands-on knowledge of data frameworks, data lakes and open-source projects such

asApache Spark, MLflow, and Delta Lake

 Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]

 Hands-on experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

 Experience preparing data for Data Science and Machine Learning with exposure to- model selection, model lifecycle, hyperparameter tuning, model serving, deep

learning, etc

 Demonstrated experience preparing data, automating and building data pipelines for

AI Use Cases (text, voice, image, IoT data etc. ).  Good to have programming language experience with. NET or Spark/Scala

 Experience in creating tables, partitioning, bucketing, loading and aggregating data

using Spark Scala, Spark SQL/PySpark

 Knowledge of AWS/Azure/GCP DevOps processes like CI/CD as well as Agile tools

and processes including Git, Jenkins, Jira, and Confluence

 Working experience with Visual Studio, PowerShell Scripting, and ARM templates.  Able to build ingestion to ADLS and enable BI layer for Analytics

 Strong understanding of Data Modeling and defining conceptual logical and physical

data models.  Big Data/analytics/information analysis/database management in the cloud

 IoT/event-driven/microservices in the cloud- Experience with private and public cloud

architectures, pros/cons, and migration considerations.  Ability to remain up to date with industry standards and technological advancements

that will enhance data quality and reliability to advance strategic initiatives

 Working knowledge of RESTful APIs, OAuth2 authorization framework and security

best practices for API Gateways

 Guide customers in transforming big data projects, including development and

deployment of big data and AI applications

 Guide customers on Data engineering best practices, provide proof of concept, architect solutions and collaborate when needed

 2+ years of hands-on experience designing and implementing multi-tenant solutions

using AWS/Azure/GCP Databricks for data governance, data pipelines for near real-

time data warehouse, and machine learning solutions.  Over all 5+ years' experience in a software development, data engineering, or data

analytics field using Python, PySpark, Scala, Spark, Java, or equivalent technologies.  hands-on expertise in Apache SparkTM (Scala or Python)

 3+ years of experience working in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.  Bachelor's or Master's degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience

 Ability to manage competing priorities in a fast-paced environment

 Ability to resolve issues

 Basic experience with or knowledge of agile methodologies

 AWS Certified: Solutions Architect Professional

 Databricks Certified Associate Developer for Apache Spark

 Microsoft Certified: Azure Data Engineer Associate

 GCP Certified: Professional Google Cloud Certified

• Consistently embarking an excellent first impression on call, delivering exceptional customer experience
• Engage potential customers in dialogue that opens opportunities with the help of scripts and presence of mind
• Going an 'extra mile' to create happy customers to drive loyalty and increase repeat purchase
• Contacting prospective clients / existing customers to inform them about the product using scripts
• Accurately record details of communication with customers
• Developing and sustaining solid relationships with customers to encourage repeat business
• Answer questions about product features in an engaging manner
• Answer all customer questions honestly and accurately
• Using sales scripts drive sales and respond to customer objections
• Developing in-depth knowledge of products and services offered by us to make suitable recommendations based on customers' needs and preferences.

• Develop and Integrate Django backend and API's with frontend framework.
• Develop Angular applications
• Working closely with UX and Front-end Developers
• Participating in architectural, design and product discussions
• Designing and creating RESTful APIs for internal and partner consumption
• Working in an agile environment with an excellent team of engineers

• Good experience developing Angular applications into production
• Good experience with the Django REST framework
• Strong understanding of the Angular framework as well as javascript, jQuery and HTML/CSS
• Good experience on designing and structuring of database most likely ORM (i.e MongoDB)
• Knowledge of how to build and use with RESTful APIs
• Good experience of Python coding skills
• Strong knowledge of version control (i.e. git, svn, etc.)
• Experience deploying Python applications into production

• Relevant Experience : Minimum 2 Years
• You have prior experience developing and working on consumer facing web/app products
• Hands-on experience on Python. Exceptions can be made if you’re really good on any other language with experience on building web/app based tech products
• Experience in at least one of the following frameworks - Django, Flask, Falcon, web2py, Twisted, Tornado
• Working knowledge of MySQL, MongoDB, Redis
• Good understanding of Data Structures, Algorithms and Operating Systems
• You've worked with core AWS services in the past and have experience with EC2, ELB, AutoScaling, CloudFront, S3
• You can dabble in Frontend codebases using HTML, CSS and Javascript
• You love doing things efficiently. At Fynd, the work you do will have a disproportionate impact on the business. We believe in systems and processes that let us scale our impact to be larger than ourselves
• You might not have experience with all the tools that we use but you can learn those given the guidance and resources