Site Engineer- Maintenance and Repair

Responsibilities:

• REVIT Families creation and Modelling: Create, modify, and maintain REVIT families to be used in architectural projects, including furniture, fixtures, equipment, and building components. Draft the furniture layouts, finish plans, elevations and details of Hospitality projects in U.S.

• Collaboration: Work closely with architects, designers, and other team members to understand project requirements and translate them into accurate REVIT families.

• Quality Control: Ensure that REVIT families meet industry standards, project-specific needs, and BIM best practices.

• Documentation: Maintain organized records of REVIT families and their associated parameters for easy access and retrieval.

• BIM Standards: Adhere to and help develop company-specific BIM standards and guidelines for family creation and management.

• BIM Integration: Assist in integrating REVIT families into project models, coordinating with other team members to ensure seamless BIM workflows.

• Model Review: Participate in model reviews to identify and resolve any issues related to REVIT families, ensuring model accuracy and consistency.

• Stay Updated: Keep up-to-date with industry trends and advancements in BIM technology, especially as it pertains to REVIT.

Qualifications:

• Bachelor's degree in Architecture, Engineering, or a related field.

• 0 to 3 years of experience in architectural practice with a strong focus on BIM and REVIT family creation , modelling and drafting.

• Proficiency in Autodesk REVIT software and demonstrated expertise in creating and managing REVIT families.

• Strong understanding of BIM principles and workflows.

• Knowledge of BIM standards and best practices.

• Detail-oriented with excellent organizational skills.

• Good communication and collaboration skills.

• Ability to work independently and as part of a team.

• Willingness to learn and adapt to evolving BIM technologies and processes.

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

• Strong experience in developing enterprise web applications. 
• Expertise on the Microsoft technology stack (.NET, C#, ASP.NET, MVC, Web API, SQL Server) 
• Candidates should have solid understanding of object-oriented programming and programming principles NET, C ,MVC, XML, MS Sql Database debugging and analysing code. 
• Candidates should have experience with SDLC to include the following stages requirements analysis design coding testing documentation and implementation. 
• Experience with .Net core Web API MVC C# Entity Framework 
• Troubleshooting & analysing skills. 
• Development experience required for Continuous improvement program. 
• Good problem-solving capabilities in Developed applications. 
• Exposure to Angular is an added advantage 

Job Description - Data Engineer

About us
Propellor is aimed at bringing Marketing Analytics and other Business Workflows to the Cloud ecosystem. We work with International Clients to make their Analytics ambitions come true, by deploying the latest tech stack and data science and engineering methods, making their business data insightful and actionable. 

What is the role?
This team is responsible for building a Data Platform for many different units. This platform will be built on Cloud and therefore in this role, the individual will be organizing and orchestrating different data sources, and
giving recommendations on the services that fulfil goals based on the type of data

Qualifications:
• Experience with Python, SQL, Spark
• Knowledge/notions of JavaScript
• Knowledge of data processing, data modeling, and algorithms
• Strong in data, software, and system design patterns and architecture
• API building and maintaining
• Strong soft skills, communication
Nice to have:
• Experience with cloud: Google Cloud Platform, AWS, Azure
• Knowledge of Google Analytics 360 and/or GA4.
Key Responsibilities
• Work on the core backend and ensure it meets the performance benchmarks.
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

Key Responsibilities
• Design and develop platform based on microservices architecture.
• Work on the core backend and ensure it meets the performance benchmarks.
• Work on the front end with ReactJS.
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

What are we looking for?
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.
• Education - BE/MCA or equivalent.
• Agnostic/Polyglot with multiple tech stacks.
• Worked on open-source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, DynamoDB.
• Good experience with Front-end technologies like ReactJS.
• Backend exposure – good knowledge of building API.
• Worked on serverless technologies.
• Efficient in building microservices in combining server & front-end.
• Knowledge of cloud architecture.
• Should have sound working experience with relational and columnar DB.
• Should be innovative and communicative in approach.
• Will be responsible for the functional/technical track of a project.

Whom will you work with?
You will closely work with the engineering team and support the Product Team.

Hiring Process includes : 

a. Written Test on Python and SQL

b. 2 - 3 rounds of Interviews

Immediate Joiners will be preferred

Should have knowledge of web frameworks, such as Django, HTML and CSS and Python programming language.

Should have relevant work experience in coding and web development.
Good knowledge of Python and Django
Good knowledge of HTML5, CSS3 and Javascript,
Good knowledge of MY SQL database
Knowledge of Django REST framework, API.

Education Qualification- bachelor's degree in computer science, information management systems or a related field.

Work Experience - 1 to 2 years (Required)

Job Type: Full-time

Salary: ₹15,000.00 - ₹25,000.00 per month

Responsibilities:

• Design and deliver scalable web services, APIs and backend data modules.
• Understand requirements and develop reusable code using design patterns & component architecture and write unit test cases
• Collaborate with product management and engineering teams to elicit and understand the requirements and develop solutions
• Stay current with latest tools, technology ideas and methodologies; share knowledge by clearly articulating results and ideas to key decision makers.

Required Qualifications:

• 6+ years of experience writing multithreaded programs running in Java
• Experience on Java, Spring Boot,, Apache Nifi ,  workingDocker, EKS, Azkaban, Jenkins
• Experience with Git and build tools like Gradle/Maven/SBT.
• Strong understanding of object-oriented design, data structures, algorithms, profiling, and optimization.
• Have elegant, readable, maintainable and extensible code style.
• Experience on AWS is preferable
• Knowledge on top algorithms like sorting, heap/stack, queue, search, etc.
• Familiarity with test-driven development
• Thrive in a fast-paced environment, with ability to deliver code of quality quickly.
• Attention to details. Strong communication and collaboration skills.
• BS in Computer Science or equivalent

• Good experience on RESTful services
• .Hands on experience on NodeJs
• .Should have previous working experience on Sql and Postgresql  
•  Must have relevant experience in NodeJS from 3-5years.