Voip Engineer

Job Title: .NET Full Stack Developer

Experience: 3 to 6 Years

Work Mode: Hybrid (2-3 days from office)

Location: Gurgaon

Joiners: Immediate joiners or candidates who have completed their notice period preferred

Key Responsibilities

• Design, develop, and maintain web applications using .NET (C#) on the backend and Angular/React on the frontend.
• Develop RESTful APIs and integrate them with front-end components.
• Collaborate with UI/UX designers, backend developers, and product managers to deliver high-quality features.
• Write clean, maintainable, and efficient code following best practices.
• Participate in code reviews and contribute to continuous improvement of development processes.
• Troubleshoot and debug issues across the application stack.
• Work with DevOps teams to support CI/CD pipelines and deployment.
• Ensure application scalability, performance, and security.
• Contribute to documentation, unit testing, and version control.

Required Skills

• Strong proficiency in C# and .NET Core/.NET Framework.
• Experience with JavaScript and modern front-end frameworks like Angular or React (preference for Angular).
• Exposure to cloud platforms – Azure (preferred), AWS, or GCP.
• Good understanding of HTML5, CSS3, and TypeScript.
• Experience in RESTful API development.
• Familiarity with Entity Framework and SQL-based databases like SQL Server.
• Understanding of version control systems like Git.
• Basic knowledge of CI/CD practices and tools like Azure DevOps or Jenkins.

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

Job Description for Telecalling executive

1.Contact potential customers to promote solar energy products and services, including solar panel installation, maintenance, and energy savings.

2. Identify and qualify potential leads through phone conversations

3.Address customer inquiries, provide relevant information, and assist in setting up appointments for site assessments

4.Regularly follow up with leads and existing customers to close sales or resolve any issues.

1. Proficiency in Python , Django and Other Allied Frameworks;
2. Expert in designing UI/UX interfaces;
3. Expert in testing, troubleshooting, debugging and problem solving;
4. Basic knowledge of SEO;
5. Good communication;
6. Team building and good acumen;
7. Ability to perform; 
8. Continuous learning

Skills

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Expertise in backend programming with Node.js and MongoDB.
• Experience with React.js and redux.
• Material UI and 3rd party libraries.
• Experience with clean code writing practices like avoiding callback hell like promises, async.
• Thorough understanding of Node.js and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript.
• Experience with data structure libraries (e.g., Immutable.js).
• Familiarity with RESTful APIs.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end builds pipelines and tools.
• A knack for benchmarking and optimization.
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial).

Responsibilities:

• Build Node.js APIs using microservices.
• Rewriting backend code with microservices architecture & Unit tests.
• Developing new user-facing features using React.js.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.

Requirements 

•  3-5 years of experience working on Python Environment

•  Knowledge on software development methodologies and being able to work on projects individually or as part of a team. Should be able to work with AGILE methodology
•  Knowledge of relational databases, version control tools and other development tools
•  Understanding of the threading limitations of Python, and multi-process architecture
•  Understanding of accessibility and security compliance
•  Strong interest in learning new skills/technologies and curiosity to explore various Technologies.

•  Should have strong analytical skills
•  Good communication
•  Able to integrate multiple data sources and databases into one system
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

Must Required Skills:

• Python 2/3
•  should have worked on one or more major Python web frameworks like Django.
• Worked with APIs development, integration of third-party APIs
• Working knowledge of MySQL databases integration with Python Environment.

1. Technical skills:
   • Primary skills :
2. Siebel CSW
   Should have hands on experience Siebel Configuration, Scripting and Workflows

1. Siebel Integration
   Should have hands on experience Siebel integrations like JMS\MQ, Web services, VBC, EBC, Rest Service, API building etc.

1. Siebel OpenUI
   Should have hands on experience in Siebel OpenUI development.

1. Database (SQL /Oracle)
   Should have good experience in writing queries, performance management, query optimization etc.

1. Should be able to work independently and should have strong debugging skills

• Secondary skills : (Good to have)

1. Siebel certification
2. Exposure to Agile
3. Exposure to HP ALM and JIRA

1. Candidate’s overall experience should be min 5 years to max 8 years.