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Job Title : Workday Integration Consultant (HCM – Absence Management)
Experience : 5 Years
Location : Pan India (Remote)
Notice Period : Immediate Joiners Only
Job Summary :
We are seeking an experienced Workday Integration Consultant with strong expertise in Workday HCM and Absence Management. The ideal candidate will have a proven track record in developing and supporting Workday integrations using tools such as EIB, Core Connectors, XSLT/XML, and Web Services (SOAP & REST).
Mandatory Skills :
- Workday HCM
- Absence Management
- Configuration
- Integrations (EIB, Core Connectors, Web Services)
- Workday Studio
Key Responsibilities :
- Design, develop, test, and deploy Workday integrations (EIB, Studio, Core Connectors).
- Manage end-to-end integration requirements from design to deployment.
- Handle bulk data loads using EIB.
- Collaborate with stakeholders, functional teams, and external vendors for solution delivery.
- Create and maintain design documentation, test plans, and migration documentation.
- Support end-to-end testing, parallel testing, and cut-over activities.
- Participate in Workday release testing and ensure compatibility of integrations.
Required Experience :
- Minimum 5 years of hands-on experience with Workday integrations.
- At least 3 years of experience specifically working with HCM and Absence Management modules.
- Proficient in XML, XSLT, Calculated Fields, and Workday Security Configuration.
- Knowledge of Workday reporting tools including Standard Reports, Custom Reports, PICOF, and PECI.
- Strong understanding of Workday Business Processes and Security Configuration.
Educational Qualification :
- Bachelor’s Degree in Computer Science, Information Technology, or a related field.
Good to Have :
- Experience with other Workday modules like Payroll and Benefits.
- Familiarity with PM tools like MS Project and MS Excel.
- Excellent communication and client interaction skills.
Position: AWS Data Engineer
Experience: 5 to 7 Years
Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram
Work Mode: Hybrid (3 days work from office per week)
Employment Type: Full-time
About the Role:
We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.
Key Responsibilities:
- Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
- Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
- Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
- Optimize data models and storage for cost-efficiency and performance.
- Write advanced SQL queries to support complex data analysis and reporting requirements.
- Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
- Ensure high data quality and integrity across platforms and processes.
- Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.
Required Skills & Experience:
- Strong hands-on experience with Python or PySpark for data processing.
- Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
- Proficiency in writing complex SQL queries and optimizing them for performance.
- Familiarity with serverless architectures and AWS best practices.
- Experience in designing and maintaining robust data architectures and data lakes.
- Ability to troubleshoot and resolve data pipeline issues efficiently.
- Strong communication and stakeholder management skills.
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Design systems independently with minimal interaction from the architects
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Lead a team of software developers to implement systems
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Continuously find ways to increase the quality of the code
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Liaising with team members, management, and clients to ensure projects are completed to
standard.
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Anticipates problems and future technical needs and takes necessary steps to address issues.
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Enthusiastically follow industry trends and developments
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Understands how various technology and tools work so that the team picks the right tool for the
job.
Requirements:
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Designation: Sales Engineer - Woodworking Industry
Role Defination : Sales Engineer is responsible for implementing NITSHAW sales strategies and achieving sales targets assigned to him. He is responsible for creating new opportunities and generating sales from existing as well as new customers.
Roles and Responsibilities
· Introductory Sales Meetings
· Customer requirement analysis
· Techno-commercial Sales Proposals
· Technical and commercial meetings
· Follow ups, Negotiations and Sales Conversion
· Payment Collection
· Customer Satisfaction
· CRM Updates & Reporting
· Events participation and Coordination
Expected Profile
o Bachelor's or Masters's degree with 2-5 years experience in Sales / Business Development of Capital Equipment or Industrial products
o Experience in the Woodworking / Furniture manufacturing industry and Machines will be advantageous.
o Excellent written and spoken and presentation skills.
o Ready to travel extensively.
o Should have Good Negotiation & Deal Making Skills
Location : Bangalore | Pune | Mumbai
2-5 yrs of proven experience in ML, DL, and preferably NLP.
Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.
𝐖𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐰𝐨𝐫𝐤 𝐨𝐧?
𝟏) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.
𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫?
𝟏) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
𝟐) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
𝟑) Strong understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
𝟒) Expertise in RNN, LSTM, and other neural network architectures.
𝟓) DL frameworks: Tensorflow, Pytorch, Keras
𝟔) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
𝟕) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
𝟖) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.
𝐖𝐡𝐲 𝐜𝐡𝐨𝐨𝐬𝐞 𝐮𝐬?
𝟏) We offer Competitive remuneration.
𝟐) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
𝟑) We offer flexibility to choose your tools, methods, and ways to collaborate.
𝟒) We always value and believe in new ideas and encourage creative thinking.
𝟓) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
𝟔) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
- Improving the NPS of the partners.
- Working closely with the business, operations and sales teams to understand their inputs and pain points and conceptualizing and building solutions which will help them.
- Driving the engineering, QA, data and design teams in delivering and building world class products.
- Planning Sprints and working in an Agile environment to carry out not just your tasks but also the tasks of your team members.
- Understanding and measuring the success metrics directly inclined towards your vertical and align them as per the business needs.
- User research will be a key part of your job which will help you to take better and more informed decisions while you build the product, hence conducting and setting up efficient user research frameworks will also be an important responsibility.
- Finally, you will be analyzing the key metrics being tracked in the launched product and creating a plan to iterate and optimize the products for future sprints.
Desired Candidate Profile
What you need to have:- Master's / Bachelor's degree (preferably in Computer Science).
- 2+ years of handson experience in Product Management and proven track record of managing all aspects of a successful product throughout its lifecycle.
- B2B experience specifically building products for E-commerce/ Logistics clients is a bonus.
- You should be able to communicate effectively with the Engineering, QA and Design teams in their language while being able to articulate the product requirements efficiently.
- You should have a First principle thinking approach in problem solving; the ability to build products from scratch and the vision to scale it.
- You should have empathy towards the customer and the ability to understand their problems.
- You should have an Agile mindset - With a strong bias for action and an iterative approach to product development and a focus on building well hypothesised products.
- You should be able to understand and analyze industry/ market/ competition and internal business strategy, and ensure your product stays relevant and ahead of the curve.
- On a daily basis, you should use data to drive decision making and be analytical in understanding the problem statements.
- A good knowledge in UI/ UX design.
- The ability to collaborate with cross functional teams and harner assertiveness and influence to rally people around building exceptional products.
- Prior experience in building products for the Blue collared workforce is a plus.
2.Hands-on experience on technology nodes like 7nm, 14nm, 10nm.
3.Good knowledge of EDA tools from Synopsys , Cadence and Mentor
4.Hands-on experience in floor planning, placement optimizations, CTS and routing.
5.Hands-on experience in cadence or Synopsys tool (Encounter, ICC, PT/PTSI, TEMPUS, DC, RC, VOLTAS)
• Design, implement, and extend core platform services and APIs to enable new
products and features to be built.
• Provide technical contribute to the core team that powers our backend services for
millions of concurrent users.
• Build and own the core systems that form the architecture of our backend services
from api gateways, service observability and inter-service communications to higher
level business components like identity, therapeutic engine, and analytics systems
just to name a few.
• Drive the qualitative aspects of the backend services, like performance, scalability,
observability, reliability and security and so on.




