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Power BI Developer(Azure Developer )
Job Description:
Senior visualization engineer with understanding in Azure Data Factory & Databricks to develop and deliver solutions that enable delivery of information to audiences in support of key business processes.
Ensure code and design quality through execution of test plans and assist in development of standards & guidelines working closely with internal and external design, business and technical counterparts.
Desired Competencies:
- Strong designing concepts of data visualization centered on business user and a knack of communicating insights visually.
- Ability to produce any of the charting methods available with drill down options and action-based reporting. This includes use of right graphs for the underlying data with company themes and objects.
- Publishing reports & dashboards on reporting server and providing role-based access to users.
- Ability to create wireframes on any tool for communicating the reporting design.
- Creation of ad-hoc reports & dashboards to visually communicate data hub metrics (metadata information) for top management understanding.
- Should be able to handle huge volume of data from databases such as SQL Server, Synapse, Delta Lake or flat files and create high performance dashboards.
- Should be good in Power BI development
- Expertise in 2 or more BI (Visualization) tools in building reports and dashboards.
- Understanding of Azure components like Azure Data Factory, Data lake Store, SQL Database, Azure Databricks
- Strong knowledge in SQL queries
- Must have worked in full life-cycle development from functional design to deployment
- Intermediate understanding to format, process and transform data
- Should have working knowledge of GIT, SVN
- Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.
- Basic understanding of data modelling and ability to combine data from multiple sources to create integrated reports
Preferred Qualifications:
- Bachelor's degree in Computer Science or Technology
- Proven success in contributing to a team-oriented environment
About Us
CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.
Our Values
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/.
Role Overview:
As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.
Key Responsibilities:
- Architect & Develop AI Solutions: Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.
- Build AI Infrastructure: Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.
- Lead AI Research & Innovation: Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.
- Solve Business Problems: Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.
- End-to-End Project Ownership: Take ownership of the entire lifecycle of AI projects—from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.
- Team Leadership & Mentorship: Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.
- Cross-Functional Collaboration: Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.
Required Skills and Qualifications
- Master’s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
- 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.
- Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
- Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.
- Proven experience in developing and deploying scalable systems on cloud platforms, particularly AWS. Experience with GCS is a plus.
- Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.
- Experience with containerization technologies, specifically Docker.
- Solid understanding of software engineering principles and experience building APIs and microservices.
Preferred Qualifications
- A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.
- Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).
- Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).
- Proven ability to lead technical teams and mentor other engineers.
- Experience developing custom tools or packages for data science workflows.
Role: Python Full Stack Developer
Onsite- Bengaluru
Experience: 3+ Years
Contract Duration: 6 Months
Notice0 less than 15 days
- SAAS
- Enterprise
- fintech
- Payments
- Healthcare
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Provide organization-wide leadership, direction, and execution strategy including taking Nova-wide engineering initiatives.
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Design, experiment, and implement processes to increase the overall productivity.
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Provide technical expertise and leadership wherever required throughout product life cycles, influence / evangelize best engineering practices
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Liason with Product Leader and influence right product strategies
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Work closely with cross-functional teams, customer success/operations leadership team, and a team of product managers
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Own an engineering team of 25 plus
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Take care of their career progression working with their PMs
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Provide continuous feedback, training and make sure team is working on their full potential at all time to ensure your team delivers best in class products and solutions
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Review the architecture/design of a product/module/feature and provide feedback
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Architect, design and/or hands-on code the critical portion of a product/module/feature
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Mentor the tech-leads on architecting the product to deliver on-time
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Be hands-on in technical architecture and reviews
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Building early-stage tech products
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Strong tech background of working in a product Nova
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Mentoring young engineering team
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Identifying right engineering practices
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Taking decisions on build Vs buy strategies
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Take decisions related to data, infrastructure, and right tech stacks that fit Nova's roadmap and priorities
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Understanding of various backend and frontend technologies and its core concepts
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Ability to understand the business problems and solve them with innovative tech solutions
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Very strong analytical and problem-solving skills in a super changing environment
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Minimum 8 years of quality experience.
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5 years of hands-on experience in building large-scale systems. A proven performance track record and a team player with high energy,
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A good business sense and deep empathy towards user needs and able to envision solutions for a B2B SAAS product.
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Agility and ability to adapt quickly to changing requirements and scope and priorities.
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An enthusiastic leader who has unlimited energy to influence and daring to take initiatives and risks.
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Excellent communication, leadership, and presentation skills
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See less
Our Engineering team values productivity, integrity, and pragmatism.
What Will You Do
● Improve automation code structure and framework architecture in terms of
maintainability, execution speed, and coverage; write, co-write, and review test
design/plan documentation
● Own communication throughout the sprint/release cycle, quality of features, and the
delivery of the entire feature
● Lead new language/framework POC within the technical focus area
● Drive the design/code review process for test automation, seeking and providing
constructive criticism
● Ensure your team has strong sets of documentations and journals of how their test
design and architecture/product evolves over time.
● Lead effort in working with other teams and counterparts to solve problems affecting the
team's overall delivery
● Participate in the prioritization of cross-team automation initiatives & lead those within
your own team
● Participate/Support in production/Customer deployment.
What you will Bring
● 10+ years of experience in professional testing
● Familiarity with Microservices architecture
● Deep understanding of Manual & Automation test methodologies and principles
● Strong problem-solving, interpersonal, organizational, and time management skills
● Passion for self-improvement and continual learning
● Great attitude and adaptable to taking on many diverse responsibilities
● Experience working with Web and API Testing - both manual & automation
● Experience using tools such as Jira, Git, Selenium, RestAssured, TestNG,CI/CD
pipelines.
● Experience in setting up test Infra for Functional and Non-Functional testing.
● Experience working with programming languages like Java/Python.
● Experience working with Agile process management methodology
● Experience of Performance / Security Testing and Linux/Unix commands
We are looking for candidates in dotnet developers who have good knowledge in
MVC
.net core
LINQ
Database
Experience: 1-12 yr
Location : Jaipur
where a person has done EPC (engineering, procurement construction) hiring.
Also, the person from an engineering, procurement, and construction background will work.
relevant Consultancy experience will work
Java Backend Engineer - Fintech Rocketship Pilot
Distributed systems, scalability, reliability, robustness, security, quality, building responsive real time systems - do these terms get your adrenaline high? Come be a part of a high growth, fast paced engineering team building for India’s new generation.
We have an open culture, you take responsibility and ownership of what you do. No bureaucracy. No bullsh*t.
If you are up for big engineering challenges, personal and professional growth, then let’s join forces!
You’ll fit right in if you have - 2-3 years of experience building, running and maintaining production services Strong with Java and JVM based services along with PostgreSQL Comfortable working with multiple cloud providers: mainly GCP and AWS Comfortable with CI and CD tools and best practices Done TDD and values TDD
Good to have –
Engineering aptitude - Owns small features, starting from technical design through completion. Appreciates and participates in technical discussions, and values guidance and feedback. Does not need mentoring on a daily basis; makes steady progress by themselves, and knows when to ask for help to get unblocked. Comfortable with referencing technical specifications, API references, source code, and man pages to understand concepts or solve issues.
Design process - Understands the role and importance of design, can write good backend specifications Can communicate API specifications and design goals to the end consumers API
Code reviews - Understands the value of peer-reviewed code; learns how to be unbiased and provide effective feedback. Asks senior engineers for help when needed (e.g.: architecture decisions, refactoring)



