11+ QA DB Jobs in India

Job title: Azure Architect

Locations: Noida, Pune, Bangalore and Mumbai

Responsibilities:

• Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
• Design and Develop the Data lake, Data warehouse using Azure Cloud Services
• Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
• Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
• Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
• Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
• Support internal presentations to technical and business teams
• Provide technical guidance, mentoring and code review, design level technical best practices

Experience Needed:

• 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years’ experience designing and building analytics solutions in Azure.
• Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
• Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
• Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
• Experience in Perform Design, Development & Deployment using Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
• Worked with transactional, temporal, time series, and structured and unstructured data.
• Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).

Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Azure DW, Databricks, Python

Position: EXECUTIVE ASSISTANT TO DIRECTOR- Female

Location: Meerut

Experience: 7-12 year on any leadership role preferred with a manufacturing company.

salary: Negotiable

Industry: Manufacturing

Qualification: Any Graduate or Post graduate

Executive Support:

·         Manage and optimize the Directors complex calendar, including scheduling meetings, travel arrangements, and key events.

·         Prepare briefing materials, agendas, and presentations for meetings.

·         Handle confidential information with utmost discretion.

·         Coordinate and prioritize incoming communications (emails, calls, documents) for the Director.

Project & Office Management:

·         Oversee key projects and initiatives on behalf of the Director.

·         Manage workflows and deadlines to ensure timely completion of tasks.

·         Lead and mentor junior administrative staff and executive assistants.

Stakeholder Engagement:

·         Serve as a liaison between the Director and internal/external stakeholders.

·         Draft and review correspondence, reports, and presentations.

·         Coordinate with other departments to facilitate smooth operations.

Event & Travel Coordination:

·         Arrange complex travel itineraries, including visas, accommodations, and logistics.

Strategic Support:

·         Assist in preparing strategic documents, reports.

·         Conduct research and compile data to support decision-making.

·         Anticipate the Directors needs and proactively manage tasks and issues.

·         Play as a role of CRM to maintain the good relationship with the existing clients.

Skills:

·         Exceptional organizational and time-management skills.

·         Strong written and verbal communication abilities.

·         Good listening skills.

·         High level of discretion and confidentiality.

·         Proficiency in MS Office Suite, Google Workspace, and proficiency in any software .

·         Strong problem-solving skills and adaptability in a fast-paced environment.

·         Strategic thinking and problem-solving

·         Proactive and resourceful

·         High emotional intelligence and interpersonal skills

·         Leadership and team management.

mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

stish: 88 O2 74 97 43

DocNexus is revolutionizing the global medical affairs & commercial ecosystem with search. We provide a next-generation data platform that simplifies searching through millions of insights, publications, clinical trials, payments, and social media data within seconds to identify healthcare professionals (HCPs), products, manufacturers, and healthcare systems. Leveraging AI-powered Knowledge Graphs, DocNexus assists life science organizations in finding the right key opinion leaders (KOL/DOLs) who play a crucial role in developing and bringing life-saving pharmaceutical products and medical devices to market. Backed by industry leaders such as Techstars, JP Morgan, Mass Challenge, and recognized as one of the Top 200 Most Innovative Startups by TechCrunch Disrupt, we are committed to transforming healthcare insights. We are seeking a skilled and passionate DevOps Engineer to join our dynamic team and contribute to the efficient development, deployment, and maintenance of our platform.

We are looking for a visionary Sr. Full Stack Engineering Lead who is passionate about building and leading our technology department. The ideal candidate will have a solid technical background and experience in leading a team to drive innovation and growth. As Engineering Lead, you will oversee the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase business.

Leadership and Strategy:

• Lead the engineering team and make strategic decisions regarding the technology stack, project management, and resource allocation.
• Establish the company’s technical vision and lead all aspects of technological development.

Development:

• Develop and maintain the front-end and back-end of web applications.
• Ensure the performance, quality, and responsiveness of applications.
• Collaborate with a team to define, design, and ship new features.

Maintenance and Optimization:

• Maintain code integrity and organization.
• Identify and correct bottlenecks and fix bugs.
• Continually work on optimizing the performance of different applications.

Security: Ensure the security of the web applications by integrating security best practices.

• Regularly update the system to protect against vulnerabilities.

Innovation:

• Research and implement new technologies and frameworks that can improve the performance and user experience of the platform.
• Stay informed on emerging technologies and trends that can potentially impact the company's products and services.

Collaboration and Communication:

• Work closely with other departments to understand their needs and translate them into technical solutions.
• Communicate technology strategy to partners, management, investors, and employees.

Project Management:

• Oversee and support project planning, deadlines, and progress.
• Ensure that the technology standards and best practices are maintained across the organization.

Mentoring and Team Building:

• Foster a culture of innovation and excellence within the technology team.
• Mentor and guide the professional and technical development of team members.

Front-End Development:

• HTML/CSS: For structuring and styling the web pages.
• JavaScript/TypeScript: Core scripting language, along with frameworks like Angular, React, or Vue.js for dynamic and responsive user interfaces.

Back-End Development:

• Python: Using frameworks like Django or Flask for server-side logic.
• Node.js: JavaScript runtime environment for building scalable network applications.
• Ruby on Rails: A server-side web application framework written in Ruby.

Database Management:

• SQL Databases: MySQL, PostgreSQL for structured data storage.
• NoSQL Databases: MongoDB, Cassandra for unstructured data or specific use cases.

Server Management:

• Nginx or Apache: For server and reverse proxy functionalities.
• Docker: For containerizing applications and ensuring consistency across multiple development and release cycles.
• Kubernetes: For automating deployment, scaling, and operations of application containers.

DevOps and Continuous Integration/Continuous Deployment (CI/CD):

• Git: For version control.
• Jenkins, Travis CI, or CircleCI: For continuous integration and deployment.
• Ansible, Chef, or Puppet: For configuration management.

Cloud Services:

• AWS: For various cloud services like computing, database storage, content delivery, etc.
• Serverless Frameworks: Such as AWS Lambda or Google Cloud Functions for running code without provisioning or managing servers.

Security:

• OAuth, JWT: For secure authentication mechanisms.
• SSL/TLS: For secure data transmission.
• Various Encryption Techniques: To safeguard sensitive data.

Performance Monitoring and Testing:

• Selenium, Jest, or Mocha: For automated testing.
• New Relic or Datadog: For performance monitoring.

Data Science and Analytics:

• Python Libraries: NumPy, Pandas, or SciPy for data manipulation and analysis.
• Machine Learning Frameworks: TensorFlow, PyTorch for implementing machine learning models.

Other Technologies:

• GraphQL: For querying and manipulating data efficiently.
• WebSockets: For real-time bi-directional communication between web clients and servers.

About TensorIoT

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Minimum Requirements: 

• Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.  
• Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
• Hands-on experience in MLOps (model deployment, maintenance)
• Hands-on experience with Docker.
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning  
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients.

Preferred Qualifications: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Some experience in creating cloud-native technologies, and microservices design. 
• Published scientific papers in the relevant domain of work. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

Technical Experience :

- Net development work experience.

- Proficiency in NET Development with Asp.net and MVC.

- Strong object-oriented programming OOPS design skills, SOLID principles and proficiency in software design patterns.

- Experience in database MS SQL Server.

- Experience with version control systems GitHub and Bitbucket.

Professional Attributes :

1. Should have good communication Skills.

2. Should be a good team player.

3. Should be able to work independently and under pressure.

4. Should have good logical and analytical thinking.

Job Description

We are looking for an excellent experienced person in the Full-Stack field. Be a part of a vibrant, rapidly growing tech enterprise with a great working environment. As a Full-Stack developer, you will be responsible for the server side of our web applications and you will work closely with our engineers to ensure system consistency and improve your experience. A Full Stack MEAN (MongoDB, Express.js, AngularJS, Node.js) Developer is responsible for developing and maintaining web applications, databases, and server-side systems using the MEAN stack.

Scope of Work:

• Translate Understanding of accessibility and security compliance (Depending on the specific project) 
• User authentication and authorization between multiple systems, servers, and environments. 
• Integration of multiple data sources and databases into one system 
• Understanding fundamental design principles behind a scalable application. 
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform. 
• Creating database schemas that represent and support business processes. 
• Implementing automated testing platforms and unit tests. 
• Ability to work independently and in a team environment 
• Excellent communication and collaboration skills 
• Participate in code reviews and contribute to the team-wide coding standard

Essential Requirements:

• Developing and managing databases using MongoDB, MY SQL, PostgreSQL 
• Developing and designing web applications using Angular4+, Node.js, and Express.js 
• Excellent Knowledge of AWS/GCP – Managed service.
• Familiarity with cloud computing services such as AWS, Google Cloud, or Azure 
• Writing server-side scripts using Node.js. 
• Integrating front-end components with back-end components. 
• Troubleshooting and debugging applications. 
• Optimizing web applications for speed and scalability. 
• Collaborating with cross-functional teams to identify and resolve issues. 
• Good Knowledge of JSON, API, and JWT 
• Good understanding of server-side templating languages 
• Basic understanding of front-end technologies, such as HTML5 and CSS3 
• Proficient understanding of code versioning tools, such as Git 
• Experience of working in an automated environment

Educational Qualifications

• B-Tech-IT/M-Tech -/MBA- IT/ BCA /MCA or any degree in the relevant field
• 
  

Benefits

- 5 Day Working(Saturday and Sunday Off)

- Informal Dress Code

- Compensatory Off

- Laptop Allowance

- Friendly Working Environment

Please Note: This is a work from office, full-time opportunity, please apply only if you can come to the office full time.

​

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.
• Integrating and maintaining Python services
• Developing robust microservices and applications

Desired Candidate Profile

• Strong relevant experience of at least 2-3 years.
• Strong coding experience in Python3.
• Should have good experience with Django and NodeJs.
• Proficient on modelling applications on both RDBMS and NOSQL databases
• Should have experience in web scraping
• Good understanding and hands-on with scheduling and managing tasks with cron
• Should have experience with microservice architecture
• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
• Should have experience in shell scripting, GIT and docker
• Writing unit tests for 100% code coverage.

To be responsible for delivering all facets of recruiting throughout the organization through the development of present and future recruiting plans, employing traditional sourcing strategies and resources as well as developing new, creative recruiting ideas, and ensuring successful execution of all the hiring requirements of the organization. Should possess excellent reporting skills with Excel.

Primary Responsibilities:

• Ownership of Respective Unit recruitment process (Requisition, strategizing & planning recruitment events, monitoring, measuring, controlling, and continuous improvement).
• End-to-end Recruitment cycle (Sourcing/Selection/ on-boarding / Process compliance/ MIS)
• Would Individually be responsible for fulfilling all roles assigned
• Implement creative sourcing strategies for future & current open positions & execute them with minimal direction.
• Define recruitment SLAs, establish metrics, and create MIS.
• Identify effectively utilize the various resource of recruitment to ensure target achievement.
• Plan and strategize recruitment drives.
• Bring in continuous improvements in sourcing, interview & selection process.
• Create and maintain job Descriptions for all positions and establish competency levels.

QUALIFICATIONS and EXPERIENCE:

• Qualifications: PG in HR (MBA, PGDM, PGP etc) / B.E, BTech
• Experience: 6-10 Years Experience
• Professional skills: Expert knowledge of sources of talent and recruitment, IT skills, technologies & industry. Preferred from Product Engineering / Product Support / Apps domain with bulk-hiring experience

ADDITIONAL COMPETENCIES:

• Excellent communication skills and ability to engage and influence senior executives and delivery managers.
• Decision-Making: Ability to make decisions that impact the success of assigned recruitment activities, i.e. results, deadlines, and budget and involves team members in making decisions to ensure senior and executive management is informed of the Company's ongoing recruitment process and future plans.
• Ability to delegate effectively and acknowledge accomplishments.
• Presentation Skills: able to demonstrate a sound knowledge of the subject matter expert ability to deliver information in a clear, concise, and logical manner and use audio-visual media to enhance presentations.
• Reporting Skill: Ability to create reports using various formulas in Excel (Vlookup, Pivot Etc)

Work in an exciting and challenging role at a leading credit rating company that is leveraging software and technology tools to change the face of credit rating in India!

Our client with nearly two decades of presence has established itself as the second-largest credit rating agency in India. They provide ratings in the financial sector, infrastructure sector, corporates, public finance, and MSME spaces. The company is headquartered in Mumbai and has regional offices at Ahmedabad, Bengaluru, Chandigarh, Chennai, Coimbatore, Hyderabad, Jaipur, Kolkata, New Delhi, Pune and Mauritius.

Our client also carries out grading of IPOs, assesses financial strength of shipyards, grades various courses of Educational institutions and provides grading services to Energy service companies. They are nurturing global opportunities and have made forays in different forms with 4 partners from Brazil, Portugal, Malaysia and South Africa.

As the Senior Manager (Ratings - BFSI), you will maintaining cases and assignments undertaken by group head in the year, managing Sector reports / criteria commentary publishing

What you will do:

• Ensuring Execution of projects
• Providing inputs and commitments towards strategic/ quality decision making
• Facilitating Development & improvement of methodology for sectors
• Minimising Sharp Rating Migration Cases/Rating Quality
• Ensuring quality and readability of rating report as well as rationale, press releases etc.
• Handling Complex situations
• Ensuring timely completion of rating assignments.
• Keeping track of changes in the respective sectors & and bringing important facts to managements notice.
• Presenting the case in the Rating Committee Meeting
• Maintaining MIS, quarterly results/ no default statement, rating reckoner etc.
• Leading & guiding the team of analysts working in the team.
• Monitoring and measuring productivity of team members
• Modelling the leadership behaviors and coaching and mentoring junior staff

What you need to have: