Data Engineer

Looking for an analytical and detail-oriented research analyst to assist in improving the operations and decision-making of our business. The research analyst's responsibilities include researching, collecting, analyzing, and interpreting data, and using the data to guide the business's decision-making. A research analyst should be prepared to work in various sectors, such as marketing, business operations, and finance.

To be a successful research analyst, you should have excellent mathematical, critical thinking, and communication skills. You should be flexible and able to work independently or in a team.

Responsibilities:

• Analyzing past operations' results and performing variance analyses.
• Identifying and analyzing trends and forecasts and recommending improvements to the business processes.
• Researching market trends, conducting surveys, analyzing data from competitors, and analyzing the business's operations, expenditures, and customer retention to identify patterns of potential issues or improvements.
• Using data analysis and interpretations to guide the decision-making of the business.
• Using operations data to develop pricing models and identify areas for improvement.
• Using statistical, economic, and data modeling techniques and tools.
• Organizing and analyzing data, creating charts and graphs, and presenting your findings to the leadership team.
• Providing recommendations to improve future business operations.
• Organizing and storing data for future research projects.
• Testing processes, policies, and protocols for efficiency and improvements.

Role Overview: The Customer Service Representative will manage all communications between customers and the brand across various channels. This is a critical and high-priority role that directly impacts brand reputation and customer satisfaction.

Key Responsibilities:

• Handle customer interactions via phone and email with a friendly, empathetic and professional approach.
• Provide prompt and clear responses to customer queries and concerns in accordance with brand guidelines and tonality.
• Suggest strategies and actions to be taken based on interactions with customers.
• Take leadership on all customer relationships and play a major role in creating a positive brand impression.

Requirements:

• Excellent people skills, customer-centric mindset and communication abilities with strong English and Hindi language skills.
• Strong observational and logical-reasoning skills with an entrepreneurial bent-of-mind.
• Proficiency in MS Word, Excel and other tools required for data management and prompt follow-up to customer queries.
• Personality, people and language skills are key. Prior experience in the hospitality industry is a plus, but not a prerequisite.

Person should be with degree in B.E/ B. Tech in Mech./ Electronics/ Electrical/ Production with 2-year prior experience in sales. Must have DL can drive his two-wheeler/4 wheeler for a sales call.

Experience in IIOT sales preferred.  

1. Basic understanding of Consultative and technical Sales, and IIoT(Industry 4.0)
2. Sales prospecting in the Manufacturing Industry and prior experience in sales for Industrial consumables/ M/c Tools/ software/ Industrial projects will be preferable.
3. Qualification of the prospects and visit /meeting for Sales Process movement.
4. Coordination with Presale for solutions and technical proposal making.
5. Building and enhancing the Pipeline of Qualified Prospects for Digital Transformation initiatives/ OEE/ CBMS/ Utility monitoring etc.
6. Working and ensuring to achieve revenue targets on a quarterly/yearly basis.
7. Capable of discussing with CXO for Meetings requests for commercial qualification of the opportunity.
8. Open for Travel.

A Loan Officer is a professional who processes loan applications and evaluates them for eligibility and suitability to ensure that nothing stands between business or personal goals.

Software Developer

Roles and Responsibilities

• Apply knowledge set to fetch data from multiple online sources, cleanse it and build APIs on top of it
• Develop a deep understanding of our vast data sources on the web and know exactly how, when, and which data to scrap, parse and store
• We're looking for people who will naturally take ownership of data products and who can bring a project all the way from a fast prototype to production.

Desired Candidate Profile

• At Least 1-2 years of experience
• Strong coding experience in Python (knowledge of Javascripts is a plus)
• Strong knowledge of scraping frameworks in Python (Request, Beautiful Soup)
• Experience with SQL and NoSQL databases
• Knowledge in Version Control tools like GIT.
• Good understanding and hands-on with scheduling and managing tasks with cron.

Nice to have:

• Experience of having worked with elastic search
• Experience with multi-processing, multi-threading, and AWS/Azure is a plus
• Experience with web crawling is a plus
• Deploy server/related components to staging, live environments.
• Experience with cloud environments like AWS,etc as well as cloud solutions like Docker,Lambda, etc
• Experience in DevOps and related practices to improve development lifecycle, continuous delivery with high quality is an advantage.
• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement

Sr Product Manager / Lead Product Manager – Data Platform

Description:

At Amagi we are looking for a product leader to build world class big data and analytics platform to help our teams in making data driven decisions and to accelerate our business outcomes.

We are looking for someone who is innovative and experienced in end-to-end product management to drive our long-term data and analytics strategy.

The ideal candidate would be responsible for owning product roadmap and KPIs, driving product operational tasks to ensure configurable and scalable solutions.

Primary Responsibilities:

• Lead the product requirements to build real time, highly scalable, low latency data platform.
• Author PRD and define the strategic roadmap.
• Lead the Product design, MVPs and POCs and fast track deliveries
• Collaborate with various functions and design the most effective solutions.
• Understand customer needs and define the data solutions and insights to drive business outcomes
• Define key product performance metrices to drive business and customer outcomes

Basic Qualification

• 12+ years of overall SDLC experience with 7+ years of product management experience in fast paced company.
• Proven experience delivering large scale highly available big data processing systems.
• Knowledge of data pipeline design, data transformation and integration methodologies.
• Technically savvy with experience in big data systems like AWS, RedShift, Athena, Kafka and related technologies
• Demonstrate collaborative approach and ability to work with distributed, cross functional teams.
• Experience in taking products through full life cycle, from proposal to launch
• Strategic thinking capabilities to define the product roadmap and right prioritization of the backlog in line with the long-term vision
• Strong communication and stakeholder management skills with the ability to coordinate across a diverse group of technical and non-technical stakeholders.
• Ability to deal with ambiguity and use data to solve ambiguous problems
• Technical ability to understand and discuss software architecture, product integration, non-functional requirements etc. with the Engineering team.

Preferred Qualification:

• Technically savvy with good understanding of cloud application development.
• Software development experience building Enterprise platforms
• Experience in third-party vendor assessments
• Experience working with AI , ML , Bigdata and analytics tools
• Understanding of regulations such as data privacy, data security and governance

• The ideal candidate should be an enterprising person with fair exposure to government business / departments. The candidate should have prior exposure to deal with decision makers and should have the hunger for business.
• Prior experience in dealing with Civil Supplies, Consumer Affairs, Dairy, Agriculture Marketing departments will be an added advantage.
• Exposure to commodity trade in general. Exposure in pulses, sugar , oilseeds, F&V would be desirable
• Understanding of the commodity markets and its entire value chain across the commodity ecosystem
• Linkages with Agri commodity trade houses, export firms and Agri related corporates.
• Demonstrated ability to lead and coordinate effectively with a wide variety of stakeholders, including national and local government, trade, banks, community- based organizations, and the private sector
• Experience in networking with the various stakeholders in the government departments and agencies along with ability to influence the decision makers. Prior experience in bid / tendering process including record of accomplishment of successful wins. Should have handled projects worth a min of 10 Cr. plus.
• Ability to commercially manage (revenue collections) large projects within stipulated timelines is necessary for this position.
• Should have lead a team size of ten member’s direct reportees.
• Prior experience in managing technology intensive projects will be highly advantageous for the candidature.

• 4-8 years of experience in BI/DW
• 3+ years of experience with Microstrategy schema, design and development
• Experience in Microstrategy Cloud for Azure and connecting with Azure Synapse as Data Source
• Extensive experience in developing reports, dashboards and cubes in Microstrategy
• Advanced SQL coding skills
• Hands on development in BI reporting and performance tuning
• Should be able to prepare unit test cases and execute unit testing