Data Scientist - ML | NLP | AI | Gen-AI

Strong Power Bi, Power App and SQL skills,

• Design and build compelling analyses, trending and/or forecasting reports using Microsoft Power BI.

• Design and build apps using power apps and power automate.

• Assist in the publishing of metrics dashboards by identifying, analyzing and interpreting trends or patterns in complex data sets.

• Define BI development objectives by analyzing user requirements while envisioning system features and functionality.

• Translate business needs into technical requirements, clearly communicate probable designs and create prototypes.

• Follow data and reporting performance optimization and tuning best practices.

• Conduct analytical activities of system data.

• Conducts complex data analysis and evaluates intangibles providing management with fact-based information.

• Knowledge of the supply chain domain.

• Proven, effective analytical skills

• Ability to work effectively under time constraints and multitask.

• Ability to work collaboratively across multiple functions and departments within the organization.

Responsibilities:

- Collaborate with the development team to understand project requirements and provide input on testability.

- Design and develop comprehensive test plans and test cases for UI/ API, based on project requirements.

- Write and execute automated tests using JavaScript with Cypress or Playwright.

- Perform manual testing when necessary to ensure complete test coverage.

- Identify and document defects, and work closely with developers to resolve them.

- Conduct regression testing to ensure software quality and reliability.

- Collaborate with cross-functional teams to ensure that software meets quality standards.

- Participate in code reviews to ensure testability and maintainability of the codebase.

- Maintain and update test documentation as necessary.

- Stay up-to-date with industry trends and best practices in software testing.

- Continuously improve the testing process and suggest process enhancements.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field.

3-4 years of experience in software testing.

- Proficiency in writing test scripts using JavaScript.

- Experience with test automation tools such as Cypress or Playwright.

- Strong understanding of software testing methodologies and best practices.

- Excellent problem-solving and debugging skills.

- Strong attention to detail and commitment to quality.

- Good communication and collaboration skills.

- Eagerness to work from the office in Hyderabad.

Benefits:

- Office Gear allocation

- Mediclaim policy for self, spouse, kids, and parents

- Wellness policy for self

- PTO

- 5 days a week work

- Subscription reimbursements

- Reimbursements for self-learning and professional development

Roles and Responsibilities

• Software Development Lifecycle: Work on the full software development lifecycle of systems.
• Technical Expertise: Solid technical background with an understanding and/or hands-on experience in software development and web technologies.
• Product Lifecycle Management: Experience in going through a full product lifecycle, integrating internal and external customer feedback into product requirements, managing change requests, driving prioritization, and pre-/post-launch execution.
• System Analysis: Analyze systems, considering reliability, systems risks, and code.
• Project Management: Manage project conflicts, challenges, and dynamic business requirements to meet expected deliverables.
• Process Management: Excellent understanding of process management, improvement practices, and operation services.
• Communication: Strong written and verbal communication skills.

Desired Candidate Profile

• Experience: 2+ years of experience in end-to-end implementation and deployment within cloud systems.
• Technical Skills:
• Knowledge of Angular 8+, Azure, HTML, CSS, jQuery, JavaScript, ASP.Net, C#, SQL Server 2012/2014+, etc.
• Sound knowledge of Object-Oriented (OOPS) concepts.
• Good experience in Relational Database Management Systems, Database design, and Normalization.
• Hands-on experience in the design, development, and debugging of systems.
• Proficiency in Object-Oriented Design (OOD) to ensure scalability and maintainability.

Data Analyst

Job Description

Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.

At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.

Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.

• Experience in building highly cost optimised data analytics solutions
• Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
• Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
• Experience in working with AWS or GCP
• Experience with relational and NoSQL databases
• Experience to full stack web development (Preferably Python)
• Expertise with data visualisation systems such as Tableau and Quick Sight
• Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
• Familiarity with ML/AÍ technologies is a plus
• Demonstrate strong understanding of development processes and agile methodologies
• Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly

Data Analytics is at the core of our work, and you will have the opportunity to:

• Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
• Lead quick prototypes by integrating data from multiple sources
• Do advanced Business Analytics through ad-hoc SQL queries
• Work on Sales Finance reporting solutions using tableau, HTML5, React applications

We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.

Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..

A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.

• Propose efficient technical solutions and programming design
• Write technical specifications (COBOL/400)
• Do development and unit testing in COBOL/400