Azure Data Engineer

The RPA Business Analyst will play a key role in analysing banking processes to identify opportunities for automation and optimization using Robotic Process Automation (RPA) tools. With experience in the banking domain, the candidate will collaborate with stakeholders, gather requirements, document processes, and work closely with RPA developers to design, implement, and improve automated workflows.

Job Title: Odoo Developer

Job Summary:

We are seeking an experienced Odoo Developer to join our dynamic team. The ideal candidate will be responsible for customizing, developing, and implementing Odoo ERP solutions. You will work closely with clients to understand their business needs and create tailored solutions to enhance business processes and improve efficiency.

Key Responsibilities:

• Odoo Customization & Development: Customize and develop Odoo modules based on client requirements.
• Module Creation: Design, implement, and maintain custom Odoo modules for various business functions (e.g., sales, inventory, accounting).
• Integration: Integrate Odoo with third-party applications and external systems through APIs.
• Database Management: Manage and optimize PostgreSQL databases associated with Odoo.
• Bug Fixing & Troubleshooting: Identify, diagnose, and resolve issues in Odoo systems to ensure smooth operations.
• Odoo Upgrades: Perform Odoo version upgrades and ensure compatibility of modules across different versions.
• User Support: Provide technical support to users and assist in troubleshooting issues.
• Documentation: Maintain proper documentation of all customizations and development work.
• Collaboration: Work closely with project managers, business analysts, and clients to deliver the best solutions.

Skills & Qualifications:

• Strong proficiency in Python and experience with the Odoo framework.
• Experience in developing and customizing Odoo modules and reports (Qweb).
• Solid understanding of SQL, PostgreSQL, and database management.
• Knowledge of JavaScript, XML, HTML, and CSS for front-end customization.
• Familiarity with API integration and third-party system integration.
• Strong problem-solving and debugging skills.
• Experience with version control systems like Git.
• Ability to work on multiple projects and meet deadlines in a fast-paced environment.
• Good communication skills and ability to collaborate with clients and team members.
• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Preferred Skills:

• Experience in Odoo eCommerce and Odoo Studio.
• Knowledge of project management methodologies (e.g., Agile).
• Familiarity with Odoo security best practices and performance optimization.

Why Join Us?

• Opportunity to work on exciting Odoo projects across different industries.
• Collaborative and supportive work environment.
• Competitive salary and benefits.

If you are looking to solve real-world revenue process problems using HubSpot, Niswey is the place to be. We have been helping HubSpot customers grow better since 2016. 

Here are our HubSpot credentials:

🏆2023 Custom Integrations Accredited

🏆2023 Onboarding Accredited

🏆2023 Platform Enablement Accredited

🏆2022 Elite Solutions Partner (We were the first Elite partner from Asia) 

🏆2022 Technical Expertise Impact Award

🏆2021 Customer First Impact Award

Join us, as we exploit the potential of the 26 billion HubSpot partner ecosystem opportunity. 

Experience: At least 5 years of work experience, at least 2 years in HubSpot solutioning and business analysis. 

Responsibilities

• Participate in and over time, lead discovery calls. Understand the business of Niswey clients and ask relevant questions to uncover challenges and opportunities
• Do comprehensive research to understand the business, automation and tech problems at hand
• Come up with the optimal HubSpot solution and how it will be implemented
• Document solutions for all stakeholders to have clarity
• Work with the delivery teams to ensure the project is implemented in a timely and efficient manner while conforming to the standards specified 
• Ensure the delivery team is keeping up with the right business and technical understanding, and certifications needed to do the implementations successfully
• Maintain relationships with customers and support with their HubSpot related challenges

Qualifications and skills

• A deep understanding of how CRMs work
• A solid foundational understanding of at least one CRM - 2+ years of experience with HubSpot CRM or 5+ years of experience with any CRM
• Experience translating business processes into HubSpot workflows. A fundamental understanding of CRM systems is a must.
• Understand APIs and integrations, from the tech as well as the business sides.
• Have a good understanding of marketing and sales
• Work and brainstorm with technical experts to arrive at optimal solutions 
• Attention to detail is a must.
• Ability to work on multiple projects at once, great at prioritization
• Excellent written and oral communication skills
• Critical thinking and troubleshooting

1. Get your creative juices flowing by collaborating with the marketing team to develop concepts and visual assets for digital campaigns, social media, and other marketing initiatives

2. Dive into the world of motion graphics and video editing to craft content that's not just cool but Instagram Reels cool ensuring brand consistency and alignment with campaign objectives

3. Stay ahead of the curve by keeping tabs on the latest trends in design, animation, and social media

4. Take ownership of projects from concept to execution, managing multiple assignments simultaneously and meeting deadlines.

Engineering Manager Responsibilities:

• Platform stability and smooth functioning on a day to day basis.
• Proposing and managing budgets for projects and for growth.
• Supervising the work of multiple teams (build, test, infrastructure).
• Planning and executing strategies for completing projects on time.
• Identifying potential roadblocks and building contingency plans.
• Quickly dealing with bugs and breaks in the operational environment.
• Determining the need for training and talent development.
• Team building.
• Product launch with management buyin.
• Providing clear and concise instructions to engineering teams.

Engineering Manager Requirements:

• Bachelor's / Masters degree in CS or related.
• 8 t0 12 years' engineering experience.
• Proven supervisory and technical skills.
• Capable of working in an unsupervised agile environment.
• Must come highly-recommended.

• Generate leads through marketing, lead gen tools, cold calling, events, existing customer outreach
• Locate the right person in the organization and Make the first pitch
• Send solutions and Services marketing collateral/ material over email
• Follow up, pitch, and convince the customer to try us/take a demo of services wherever we offer.
• Schedule an online meeting or discussion or chat with interested suspects through skype/Chat/phone for the sales closure team
• Develop and prospect sales opportunities as well as work on company-provided sales leads
• Manage a complex sales cycle with multiple decision-makers and present cost-benefit analyses to stakeholders
• Use our sales CRM tool, and update it at every step of the process.
• Maintain and build up a regular ongoing relationship with your suspects through skype, LinkedIn and other online social network sites sources
• Validate Leads by following our Sales qualification process
• Responsible for Data Mining and Market Research through the internet, Building databases, and Proficient in secondary research.
• Act as one point of contact for all client queries from Pre-Sales to Post Sales till project delivery and involved in strategic planning for the generation of inbound/ outbound leads & targeting to produce max revenue growth.
• Maintain and expand the database of prospects within the assigned territory
• Interested Candidates skype me your CV @ sscool07

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

Job Description:

• Connect and engage with pre generated leads via outbound calls (approx. 80-100 calls).
• Reach out to new customers and explain to them about benefits of the Services/Product Offered.
• Initiate repeat sales by follow up phone calls from existing customers.
• Develop in-depth knowledge of products and services to make suitable recommendations based on customer needs.
• Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.
• Achieve sales targets by new customer acquisition and ensure growth / revenue from existing customers
• Adhere to quality standards and processes within defined metrics.

Required Skills:

• Good communication skills
• Active listening skills
• Strong convincing skills
• Client handling skills
• Ability to handle stress and rejection in soliciting clients

Desired Skills:

• Prior experience in sales/business development/voice process will be preferred
• Solution oriented with effective problem solving skills
• Knowledge of various online portals will be an added advantage.