Senior data architect

Key Responsibilities

* Own end-to-end recruitment for non-technical and business functions.

* Partner with Hiring Managers to understand workforce planning and hiring priorities.

* Develop sourcing strategies for niche and business-critical roles.

* Build and maintain strong talent pipelines through proactive sourcing.

* Drive the complete hiring lifecycle including sourcing, screening, interview coordination, offer management, and onboarding.

* Ensure an outstanding candidate experience throughout the hiring process.

* Track recruitment metrics and continuously improve hiring efficiency.

* Collaborate with global stakeholders and cross-functional teams.

Roles You’ll Hire For

* Sales

* Customer Success

* Marketing

* Finance & Accounting

* Human Resources

* Legal & Compliance

* Operations

* Business Operations

* Program Management

* Executive & Leadership Hiring

Required Qualifications

* 5–8 years of end-to-end recruitment experience.

* Experience hiring for multiple business functions in a product or technology organization.

* Strong stakeholder management and business partnering skills.

* Proven sourcing expertise using LinkedIn Recruiter, job portals, referrals, and Boolean search.

* Experience working with ATS platforms such as Greenhouse, Lever, Workday, SuccessFactors, or similar.

* Strong offer negotiation and candidate engagement skills.

* Excellent communication and relationship management abilities.

* Experience working with global stakeholders is highly preferred.

We are seeking a detail-oriented and motivated Data Entry Specialist to join our team. In this role, you will be responsible for accurately entering, updating, and maintaining data in our systems and databases. The ideal candidate will have strong typing skills, attention to detail, and the ability to work efficiently under deadlines.

Key Responsibilities:

• Accurately enter data into databases, spreadsheets, and internal systems
• Verify data accuracy and make necessary corrections
• Maintain confidentiality of sensitive information
• Organize and manage records and files
• Perform regular backups to ensure data preservation
• Respond to data requests and provide information as needed
• Assist with administrative tasks and other projects as assigned

Qualifications:

• High school diploma or equivalent; associate degree is a plus
• Proven experience in data entry or a similar role preferred
• Excellent typing skills (minimum 40–60 WPM preferred)
• Strong attention to detail and accuracy
• Proficiency with Microsoft Office (Excel, Word) and data entry software
• Good organizational and time-management skills
• Ability to work independently and in a team environment

Preferred Skills:

• Familiarity with CRM systems or database management
• Basic knowledge of spreadsheets and online forms
• Good communication skills
• Ability to handle confidential information with integrity

Benefits:

• Competitive salary
• Flexible working hours
• Remote work options
• Paid time off and holidays
• Opportunities for growth and development

Role : Sr Data Scientist / Tech Lead – Data Science

Number of positions : 8

Responsibilities

• Lead a team of data scientists, machine learning engineers and big data specialists
• Be the main point of contact for the customers
• Lead data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Test performance of data-driven products
• Visualize data and create reports
• Experiment with new models and techniques
• Align data projects with organizational goals

Requirements (please read carefully)

• Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
• Msc-Statistics/ Phd.Statistics
• Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
• Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
• Proven experience as a Data Scientist or similar role, for about 7-8 years
• Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
• Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
• Knowledge of data management and visualization techniques --- more from a Data Science perspective.
• Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
• Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.

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Skillset: Aem+node

Experience: 3 to 9 Years 

Location: Bangalore , Hyderabad , Pune , Chennai

Notice Period: Immediate to 15 Days

Job Description:

(Kindly mention Mandatory skills in your project)

If you're interested above requirement,

Please share the below-mentioned details :

Current CTC:

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Current Company:

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Also, send your updated resume( CV) ASAP in word format.

Key Responsibilities:

● Design, develop, and maintain applications using .NET Core, ensuring optimal

performance and scalability.

● Write clean, maintainable, and efficient code, adhering to coding standards and best

practices.

● Diagnose and resolve technical issues, optimizing applications for maximum speed and

scalability.

Technical Skills:

● Proficiency in .NET Core,C#,Web API,EF,LINQ and related technologies.

● Experience in developing applications using microservice architecture

● Experience with cloud platforms

● Familiarity with front-end technologies (e.g., Angular, React) is a plus.

● Knowledge of version control systems like Git.

● Demonstrated proficiency in database design and the ability to write complex queries

● Proven experience in leading development teams and driving technical initiatives.

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.