Lead- MS Business Central / Nav Technical consultant

About the Role

We are looking for a strong C# to build high-performance plugins, automation tools, and integrations for complex desktop and engineering software systems.

This role focuses on core software engineering, including plugin development, API integrations, and data processing. You will work on real-world problem solving involving structured data, workflows, and system integrations.

Key Responsibilities

• Design and develop robust applications and plugins using C#
• Build and maintain modular, scalable, and high-performance codebases
• Integrate with hird-party APIs and software platforms
• Work on data-heavy workflows involving structured and semi-structured data
• Debug, optimize, and improve existing systems
• Collaborate with cross-functional teams to convert requirements into technical solutions
• Write clean, testable, and well-documented code

Required Skills & Qualifications (Primary Hiring Criteria)

• Strong proficiency in C#
• 1–2 years of experience in software development
• Solid understanding of:
•  Object-Oriented Programming (OOP)
• Data Structures & Algorithms
• Design patterns

Experience in at least one of:

 Desktop application development

 Backend systems

 Plugin/add-in development

• Strong experience working with APIs and integrations
• Good debugging and problem-solving skills

Good to Have

• Experience with plugin ecosystems or extensible applications
• Familiarity with WPF / WinForms
• Exposure to Python scripting
• Experience with JSON, XML, SQL
• Interest in 3D systems, CAD, or engineering tools

Domain Exposure (On the Job)

• Working with BIM tools such as Autodesk Revit
• Developing automation for engineering and design workflows
• Handling geometric and spatial data

Why This Role

• Strong focus on core engineering, not just tooling
• Opportunity to work on non-trivial systems (beyond CRUD apps)
• Learn and transition into a specialized domain (BIM / engineering software)

https://haire.ai/jobs/arcitech-ai-c-sharp-developer-plugins-and-automation

Head – Offline Marketing, Business Development & Branding

Location: Delhi

Reports To: CEO / CMO / Business Head

Experience: 12–18 years

Department: Marketing & Business Development

Industry: Healthcare & Wellness, Retail, Hospitality etc.

Job Summary:

We are looking for a visionary and execution-driven professional to lead our Offline Marketing, Business Development, and Branding initiatives across regions. This multifaceted leadership role combines strategic offline branding, business growth via partnerships and sales enablement, and improving the physical aesthetic appeal of our assets (studio, outstation events etc). The ideal candidate will be responsible for driving footfalls, revenue, brand visibility, and a superior on-ground client experience.

Key Responsibilities:

1. Offline Marketing Strategy & Execution:

• Lead all traditional marketing activities including print, outdoor, radio, in-store branding, and event sponsorships.
• Plan and implement ATL & BTL campaigns to increase visibility and foot traffic.
• Manage geo-targeted campaigns based on regional demand and client profiles.

2. Business Development:

• Identify and develop strategic B2B partnerships, alliances, and business opportunities.
• Collaborate with sales teams to generate leads and support local revenue goals.
• Support new market entry and studio openings with local marketing and branding plans.

3. Branding & On-ground Experience:

• Lead branding projects across physical locations (in studio, public spaces, malls, etc.).
• Improve visual merchandising, signage, landscape branding, lighting, and brand touchpoints.
• Work with designers, architects, and vendors to ensure high-impact physical brand presence.

4. Vendor, Agency & Stakeholder Management:

• Collaborate with creative agencies, event partners, and media buying agencies for campaign rollouts.
• Source and manage vendors for branding materials and execution.
• Liaise with internal stakeholders including operations, facilities, and design teams.

5. Budget & Performance Management:

• Own and manage marketing and branding budgets.
• Track KPIs for marketing campaigns (footfall, leads, brand recall), BD initiatives (partnerships, conversions), and branding impact (customer feedback, visual standards).
• Provide regular reports and insights to leadership.

Key Skills & Competencies:

• Strategic thinking with hands-on execution ability.
• Deep understanding of offline marketing channels and consumer behavior.
• Strong sense of design, branding, and attention to detail.
• Business acumen and proven success in driving partnerships or sales enablement.
• Excellent leadership, project management, and vendor negotiation skills.
• Willingness to travel as required.

Educational Qualifications:

• MBA/PGDM in Marketing, Business, or related field.

Location: GK1

Package: 12L plus incentives

Requirement for Python Developer

Require more than 3 years of hands-on experience with Python and associated third-party libraries.

Should have strong logical and programming skills.

Experience with Django and DRF.

Should have knowledge about MongoDB

Coordinating with the team and sharing ideas in project planning and development

Main Responsibilities of a Python Developer

· Experience with DevOps technologies and Knowledge about APIs to architect cloud-ready applications

· Strong verbal and written communication skills

· Writing effective and scalable Python codes

· Designing and implementing robust applications

· Debugging applications to ensure low latency and high-availability

· Integrating user-facing elements with server-side logic

· Implementing security and data protection

· Accommodating various data storage solutions

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Key Responsibilities:

• Understand Business requirements in BI context and design data models to transform raw data into meaningful insights
• Create dashboards and interactive visual reports using Power BI
• Analyze data and present data through reports that aid decision-making
• Design, develop, test, and deploy Power BI scripts and perform detailed analytics
• Communicate with Business units & leadership team and aim at better visualization and transparency of data analytics, driving insightful business strategies and improved business performances
• Partner with other Technology teams to create Data models, Charts & Reports in a scalable and controlled environment

Knowledge/Experience:

• A bachelor’s degree in data science, data analytics, computer science, mathematics, statistics, econometrics, financial engineering, computer or electrical engineering, or other related quantitative fields
• 4-5 years of experience in Data Preparation & Analysis, Business Intelligence using Data visualization tools (e.g.: Power BI) and sound knowledge of JavaScript, SQL
• An understanding of Machine Learning and Artificial Intelligence (AI)
• Experience with analysis in FMCG or Electronic sector is preferred
• Strong knowledge of Microsoft Excel & PowerPoint

Skills/Qualifications:

• Strong analytical skills and ability to work in a fast-paced environment
• Business acumen to understand complex business problems and translate them into analysis that leads to actionable business insights
• Strong communication skills (oral and written) to explain complex data and analytical problems
• Willingness to learn and to explore new ideas, with independent thinking and attention to details
• Strong work ethics, the can-do attitude and excellent interpersonal skills

Software Developer (B.Tech, Linux+CPP+ROS)

Job Description:

1. Design, implement and deliver custom solutions using the current robotics framework.
2. Bug fixing and improving of current application framework.
3. Design and implement tools to facilitate application development and testing.
4. Work with team members in deployment and field testing.

Requirements:

1. Bachelor Degree / Masters in Engineering (ECE and CSE preferred)
2. Work experience of 3 to 10 years in software programming.
3. Full understanding of software engineering.
4. Proficiency in C/C++ and Python programming for Linux based systems.
5. Basic Knowledge of Robot Operating System(ROS) is mandatory.
6. Good understanding of the algorithms and control loops.
7. Able to use tools to manage source code, preferably Git / GitHub.
8. Knowledge of video streaming from edge devices is a plus.

Perks and Benefits for the employees

• Paid Leaves  (12CL+12SL+12 public holidays )
• career development
• Health insurance
• Work life balance
• Employee recognition and reward programs
• Flexible work hours
• Five working days.
• Remote job for now

Exposure to development and implementation practices in a modern systems environment together with exposure to working in a project team particularly with reference to industry methodologies, e.g. Agile, continuous delivery, etc

• At least 3-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
• Strong understanding of how to secure AWS environments and meet compliance requirements
• Experience using DevOps methodology and Infrastructure as Code
• Automation / CI/CD tools – Bitbucket Pipelines, Jenkins
• Infrastructure as code – Terraform, Cloudformation, etc
• Strong experience deploying and managing infrastructure with Terraform
• Automated provisioning and configuration management – Ansible, Chef, Puppet
• Experience with Docker, GitHub, Jenkins, ELK and deploying applications on AWS
• Improve CI/CD processes, support software builds and CI/CD of the development departments
• Develop, maintain, and optimize automated deployment code for development, test, staging and production environments