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This role will work with some of our most important integrations between The company Product and financial institutions & Partners – making sure that API's are implemented and tested and data mapped in a standardized and quality-assured way.

Mandatory skill sets of the Candidate:

• Minimum 3 years of working experience in XSLT language (XSLT 1.0 + 2.0)
• Minimum 3 years of working experience in XML processing (XPath, XSD schema)
• Minimum 3 years of working experience in Java (v11) and Junit
• Excellent English communication skills (speaking, writing, and reading)
• Experience working in agile development processes
• Familiarity with code versioning tools Git, JIRA

Other Desired Skills and Experience

• More than 5 Years of experience with Payment Ecosystems
• More than 5 Years of experience in Integration to Banks, Payment Acquirers, PSP’s
• Upon having demonstrated results in this role – responsibility can expand into the product team for developing the core product

Job Description :

Job Title : Data Engineer

Location : Pune (Hybrid Work Model)

Experience Required : 4 to 8 Years

Role Overview :

We are seeking talented and driven Data Engineers to join our team in Pune. The ideal candidate will have a strong background in data engineering with expertise in Python, PySpark, and SQL. You will be responsible for designing, building, and maintaining scalable data pipelines and systems that empower our business intelligence and analytics initiatives.

Key Responsibilities:

• Develop, optimize, and maintain ETL pipelines and data workflows.
• Design and implement scalable data solutions using Python, PySpark, and SQL.
• Collaborate with cross-functional teams to gather and analyze data requirements.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Work on hybrid data environments involving on-premise and cloud-based systems.
• Assist in the deployment and maintenance of big data solutions.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 4 to 8 Years of experience in Data Engineering or related roles.
• Proficiency in Python and PySpark for data processing and analysis.
• Strong SQL skills with experience in writing complex queries and optimizing performance.
• Familiarity with data pipeline tools and frameworks.
• Knowledge of cloud platforms such as AWS, Azure, or GCP is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Preferred Qualifications:

• Experience with big data technologies like Hadoop, Hive, or Spark.
• Familiarity with data visualization tools and techniques.
• Knowledge of CI/CD pipelines and DevOps practices in a data engineering context.

Work Model:

• This position follows a hybrid work model, with candidates expected to work from the Pune office as per business needs.

Why Join Us?

• Opportunity to work with cutting-edge technologies.
• Collaborative and innovative work environment.
• Competitive compensation and benefits.
• Clear career progression and growth opportunities.

Job Title: Content Delivery Operations Specialist

Who We Are

At Brainayan, we are a learning and development consultancy partnering with companies

across industries and geographies. We specialize in designing and facilitating impactful

workshops and organizational development initiatives. Our passion lies in customizing

content that aligns with client culture and business needs, creating innovative participant

engagement experiences, and building tech-driven solutions that drive real behavior change.

Role Overview

We are seeking a highly organized and proactive Content Delivery Operations Specialist to

support the execution of our training and development programs. This role is critical in

ensuring seamless delivery of content through meticulous coordination, client

communication, and logistical support. You will work closely with facilitators, clients, and

internal teams to bring learning experiences to life.

Key Responsibilities

1. Training Execution & Logistics

• Coordinate travel, accommodation, and scheduling for facilitators/trainers.

• Liaise with clients to gather training materials, venue specifications, and tech setup

needs.

• Manage training calendars, timelines, and pre-session preparations.

• Provide facilitators for appropriate trainings based on client requirements and

program objectives.

• Ensure seamless execution of all logistical components for both in-person and virtual

training programs.

2. Client Communication & Support

• Serve as the main point of contact for clients post-onboarding for all operational

queries.• Provide ongoing support during program delivery to ensure a smooth experience for

all stakeholders.

• Proactively identify and resolve operational challenges.

3. Administrative & Documentation Support

• Maintain updated records for each training project (including feedback, attendance,

logistics).

• Assist in handling vendor coordination, invoice submissions, and compliance

documentation.

• Prepare and share communications, trackers, and reports for internal and client

purposes.

• Manage and negotiate with vendors

4. Calendar Management

• Schedule internal and client-facing meetings and manage Director’s calendars.

• Prioritize and block time effectively for important deliverables and meetings.

• Coordinate availability across internal and external stakeholders.

Qualifications & Skills

Required

• 3–5 years of experience in training operations, client coordination, or project

management.

• Proficiency in Microsoft Office (Excel, Word, PowerPoint) and Google Workspace.

• Excellent verbal and written communication skills.

• Strong organizational skills and attention to detail.

• Ability to juggle multiple tasks, meet tight deadlines, and thrive in a fast-paced

environment.

• High level of discretion, professionalism, and client orientation.

Preferred

• Experience using project management or scheduling tools (Asana, Trello, Calendly,

etc.).

• Prior experience in the L&D or consulting industry.

Preferred

• Experience in L&D, HR tech, or consulting environments.

• Familiarity with project management tools like Asana, Trello, or Notion.Why Join Brainayan?

• Work with leading global brands and seasoned professionals.

• Be part of a fast-growing team passionate about people development.

• Contribute to meaningful work that creates real-world impact.

• Enjoy a culture that values innovation, collaboration, and continuous learning.

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.

Data Axle Pune is pleased to have achieved certification as a Great Place to Work!

Roles & Responsibilities:

We are looking for a Senior Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.

We are looking for a Senior Data Scientist who will be responsible for:

1. Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
2. Design or enhance ML workflows for data ingestion, model design, model inference and scoring
3. Oversight on team project execution and delivery
4. Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
5. Visualize and publish model performance results and insights to internal and external audiences

Qualifications:

1. Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
2. Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
3. Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
4. Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
5. Proficiency in Python and SQL required; PySpark/Spark experience a plus
6. Ability to conduct a productive peer review and proper code structure in Github
7. Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
8. Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.

It is not intended to be a complete list of assigned duties but to describe a position level.

• Cold-calling to prospective leads and maintaining an Excel sheet with customer details and calling status.
• Generate new leads from existing clients.
• Independently handle the first level of conversation on chosen services
• Send mail regarding product descriptions and product white papers to prospects.
• Follow-ups over the phone and emails to win opportunities/sales.
• Convert hot leads into face-to-face or telephonic meetings.
•  Assign converted meetings to sales team members by sending meeting calendars and customer credentials.
• Take the meeting status from the concerned account manager.
• Log all lead and meeting-related data and status in CRM/Tools.
• Maintain bills and coordinate with the Accounts department regarding the same.
• Maintain office supplies by checking inventory and preparing the required items list monthly. 

Skills:-

Asp.Net, .Net Core, Web API,ASP.NET MVC, ReactJS,Jquery,Javascript,HTML

Desired profile

• Good verbal & written communication
• Proactive
• Flexible to working hours
• Good in team work as well as individual contributor
• Must be able to contribute to productivity in short time

• We need people with Test complete + Python.
• It's well and good to have Test Complete knowledge but Python knowledge is mandatory.
• C# is good to have too.