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Title: Technical Analyst - OTM

Experience: 3-9 Years

Work Location: Mohali

Shift Timing: Rotational Shift 24x5

Notice Period: Immediate to 30 days Max

Key Skills: OTM, OBIEE, BI Publisher, Oracle ERP

Job Description:

The Oracle Transportation Management Technical Analyst will share the responsibility for design, implementation, and support of business solutions based on Emerson’s instance of Oracle Transportation Management commonly referred to as SCO (Supply Chain Optimization). The Technical Analyst utilizes expertise in Oracle Transportation Management to provide assistance in the ongoing implementation, enhancement, and support of SCO functionality.

Roles and Responsibilities:

• Provide support (e.g., break/fix, how to expertise, enhancements, monitoring, testing, troubleshooting) for the SCO application.
• Works collaboratively with Corporate Logistics and SCO IT Program/Project Managers to understand program requirements and assist with the evaluation of alternative solutions.
• Assist with program rollout activities, including business unit and trading partner on-boarding, project coordination, status reporting and communication to program management.
• Proactively monitors processes to identify trends; analyses/predicts trends and develops a long-range plan designed to resolve problems and prevent them from recurring to ensure high service levels.
• Ensures SCO system documentation is complete and maintained.
• Works effectively in a global highly matrixed team environment.

Skills & Experience Required:

• 4 to 8 years of IT experience, including implementation of Oracle Transportation Management.
• OTM Expert, both Functionally and technically (Setup configuration, Order Management, Shipment management, Financials, rates, master data, bulk planning parameters, VPDs, user configuration, screen set development, SQL queries, Tracking Events and working with CSV & XML files).
• Hands on experience with triage of day-to-day OTM systems issues and providing resolution on complex issues.
• Knowledge of Logistics management principles and processes.
• Broad knowledge and experience with various ERP systems. Working knowledge of Oracle eBusiness Suite (Procurement, Shipping, XML Gateway) is highly preferred.
• Working knowledge of BI Publisher, FTI/OAC, OBIEE and ETL.
• Good knowledge of EDI and any other Middleware systems.
• Strong customer service orientation with strong written and verbal communication skills, including comfort with presenting to diverse technical and non-technical audiences at all levels of the organization.
• Ability to multi-task and work within diverse multi-disciplinary global project teams.
• Detail-oriented with strong problem-solving skills.
• Comfortable with performing detailed data analysis to identify opportunities and gain higher level insight.
• Knowledge on GTM (Global Trade Management) will be a plus.
• Some travel might be required.

Education

• Bachelor’s degree in computer science, Information Systems, or another related field.

Department

Product & Technology

Location

On-site | Prabhat Road, Pune

Experience

3-5 Years in a Data Engineering or Analytics Role

Domain

Fintech / Wealth Management — non-negotiable

Compensation

11-12 LPA Fixed + Performance Bonus

Growth

Title upgrade + salary revision at 12–18 months for strong performers

Why this role is different from most Data Engineer postings

You will work directly with the founding team on a live wealth management platform used by HNI and NRI clients. You will not spend years in a queue waiting to matter your work ships to production, your analysis influences product decisions, and you will guide junior teammates from day one. If you perform, a raise and title upgrade are on the table within 1218 months. This is the kind of early-team role that defines careers.

About Cambridge Wealth

Cambridge Wealth is a fast-growing, award-winning Financial Services and Fintech firm obsessed with quality and exceptional client service. We serve a high-profile clientele NRI, Mass Affluent, HNI, and ultra-HNI professionals and have received multiple awards from major Mutual Fund houses and BSE. We are past the zero-to-one stage and now focused on scaling our features and intelligence layer. You will be joining at exactly the right time.

What You Will Be Doing

This is a central, hands-on data engineering role at the intersection of financial analytics and applied ML. You will own the data pipelines and analytical models that power investment insights for wealth management clients transforming transaction data and portfolio information into measurable, actionable intelligence.

We are not looking for someone who just keeps the lights on. We want someone who looks at a working system and immediately sees how to make it 10x faster, cleaner, and smarter using AI and automation wherever possible.

Key Responsibilities:

Data Engineering & Pipelines

• Build and optimize PostgreSQL-based pipelines to process large volumes of investment transaction data.
• Design and maintain database schemas, foreign tables, and analytical structures for performance at scale.
• Write advanced SQL — window functions, stored procedures, query optimization, index design.
• Build Python automation scripts for data ingestion, transformation, and scheduled pipeline runs.
• Monitor AWS RDS workloads and troubleshoot performance issues proactively.

Financial Analytics & Modelling

• Develop analytical frameworks to evaluate client portfolios against benchmarks and category averages.
• Build data models covering mutual fund schemes, SIPs, redemptions, switches, and transfer lifecycles.
• Create materialized views and derived tables optimized for dashboards and internal reporting tools.
• Analyse client transaction history to surface patterns in investment behaviour and financial discipline.

Applied ML & AI-Driven Development

• Use Python (Pandas, NumPy, Scikit-learn) for trend analysis, forecasting, and predictive modelling.
• Implement classification or regression models to support financial pattern detection.
• Use AI tools — LLMs, Copilots — to accelerate ETL development, code quality, and data cleaning.
• Identify opportunities to automate repetitive data tasks and advocate for smarter tooling.

Data Quality & Governance

• Own data integrity end-to-end in a live, high-stakes financial environment.
• Build and maintain validation and cleaning protocols across all financial datasets.
• Maintain Excel models, Power Query workflows, and structured reporting outputs.

Collaboration & Junior Mentorship

• Work directly with Product, Investment Research, and Wealth Advisory teams.
• Translate open-ended business questions into structured queries and measurable outputs.
• Guide 1–2 junior trainees — review their work, set code quality standards, and help them grow.
• Present findings clearly to non-technical stakeholders — no jargon, just clarity.

Skills — What We Need vs. What Helps

Skill / Tool

Requirement

Must-Haves:

SQL & PostgreSQL (window functions, stored procedures, optimization)

Python — Pandas, NumPy for data processing and automation

ML fundamentals — classification or regression (Scikit-learn)

AWS RDS or equivalent cloud database experience

Financial domain knowledge — mutual funds, SIPs, portfolio concepts

Python data visualization — Matplotlib, Seaborn, or Plotly

Strong Advantage

Excel — Power Query, advanced modelling

Materialized views, query planning, index optimization

Experience with BI/dashboard tools

Good to Have

NoSQL databases

Prior fintech or wealth management startup experience

Financial Domain — Non-Negotiable

This is a wealth management platform. You must come in with a working understanding of:

• Mutual fund structures, scheme types, and NAV-based transactions
• Investment lifecycle — SIPs, Lump Sum, Redemptions, Switches, and STPs
• Portfolio allocation and benchmarking against indices (e.g. Nifty 50, category averages)
• How HNI/NRI clients interact with financial products differently from retail investors

You do not need to be a CFA. But if mutual funds and portfolio analytics are completely new territory, this role is not the right fit right now.

The Culture Fit — Read This Carefully

We are a small, fast-moving team. This is not a place where you wait for a ticket to arrive in your queue. The right person for this role:

• Has worked at a small startup before and is used to wearing multiple hats
• Finds broken or slow data systems genuinely irritating and fixes them without being asked
• Reaches for Python or an LLM when there is a repetitive task — automating is instinctive
• Is comfortable saying 'I don't know but I'll find out' and follows through independently
• Wants visibility and ownership, not just a well-defined job description
• Is looking for a role where strong performance is directly visible and rewarded

Growth Path — What Happens If You Perform

This is not a vague 'growth opportunity' pitch.

If you hit the bar in your first 12–18 months, you will receive a salary revision and a title upgrade to Senior Data Engineer or Lead Data Engineer depending on team expansion. As we scale our Data and AI team, this role is the natural stepping stone to a team lead position. You will also gain direct exposure to founding-team decision-making — the kind of access that is hard to get at larger companies.

Preferred Background

• 2–4 years in a data engineering or analytics role at a startup or small Fintech
• Experience in a live product environment where data errors have real consequences
• Exposure to portfolio analytics, investment research, or wealth management platforms
• Has mentored or reviewed code for at least one junior team member

Hiring Process

We respect your time. The process is direct and moves fast.

• Screening Questions — 5 minutes online
• Online Challenge — MCQ(Data, SQL, AWS, etc), and one applied ML or analytics problem, Communication Skills and Personality (focused, not trick questions)
• People Round — 30-minute video call, culture and communication
• Technical Deep-Dive — 1 hour in person, live financial data problems and your past work
• Founder's Interview — 1 hour in person, growth conversation and mutual fit
• Offer & Background Verification

Job Description:

The Application Developer primary objective are responsible for designing, creating, and maintaining Integration Solution using OIC to streamline the business process and enhance efficiency.

 Main Role (Overall Accountability):

·        Design, Develop, and Implement Integration solutions using Oracle Integration cloud (OIC) to connect various applications, Systems, and Services

·        Customize and configure OIC adapters, connectors, and Components to meet specific integration requirements.

·        Develop RESTful and SOAP Webservices for data exchange and communication between different systems.

·        Good Knowledge in Cloud technologies (Lamda function in AWS etc for integration with AWS)

·        Collaborate with Business analysists and stakeholders to gather requirements and define integration workflows and data flows.

·        Perform troubleshooting, debugging and performance tuning of integration solutions to ensure optimal performance and reliability.

·        Develop and maintain documentation for integration processes, interfaces and configurations.

·        Perform Code reviews .

·        Ensure adherence to coding standards , development methodologies and security protocols throughout the software development lifecycle.

Personnel Specification

Education: Bachelor’s degree in computer science, Information Technology or related field

Experience:

• 5 or more years of experience in IT industry.

• Experience in Cloud based integration Platform.

Skills and Abilities:

·        Proven experience in designing, developing, and implementing integration solutions using OIC

·        Strong understanding of RESTful and SOAP web services, JSON, and other data formats.

·        Experience in cloud based integration platforms, writing Lamda function and creating integrations with various channels.

·        Strong Knowledge in OIC API Integration.

·        strong understanding on SOAP based services and Rest bases services.

·        Strong development skills in JAVA

·        Strong knowledge on Authentication methodologies to be followed during the integration platforms.

·        Strong Knowledge in OIC GEN2 and GEN3

Note: One technical round has to be taken F2F from either of the Wissen office.

Role Description

This is a full-time on-site role for a Design Engineer at Rawmart in Pune. The Design Engineer will be responsible for performing day-to-day tasks related to design engineering, mechanical engineering, computer-aided design (CAD), and product design. They will collaborate with cross-functional teams to ensure effective design and implementation of projects.

Qualifications

• Design Engineering and Mechanical Engineering skills
• Proficiency in Auto Computer-Aided Design (CAD)
• Proficiency in SOLIDWORKS, Inventor, CATIA V5, AutoCAD Smart Draw floor and plant
• layout planning GD&T, DFM, DFA, DFS, DFMA
• Experience in Product Design.
• Proficiency in 2D & 3D Design.
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills
• Ability to work collaboratively in cross-functional teams
• Bachelor's degree in Engineering or relevant field

Role : Product Manager – Oracle Xstore

Work Location : Any Xebia location

Shift timings : 3 PM to 12 AM

Mode of Work : 3 Days work from office

Qualifications:

• Bachelor’s degree in business, Computer Science, or a related field.
• 1-2 years of experience in product management or related roles, preferably in the retail technology sector.
• Strong knowledge of Xstore POS and Oracle applications.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams.
• Analytical mindset with experience in data analysis and performance metrics.
• Passion for technology and a deep understanding of retail operations across US , Canada, and Latin-American markets

Preferred Skills:

• Familiarity with Agile methodologies.
• Experience with product management tools (e.g., JIRA, Trello).
• Understanding of software development processes and lifecycle.

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Job Requirements-

Mandatory:

1. 2 - 3 years of J2EE experience

2. Clear understanding and application knowledge of Object-Oriented concepts

3. Experienced in Core Java, Collection Framework, exception handling, logging frameworks

4. Knowledge of Struts/Spring/Springboot framework or any ORM tools like Hibernate, JPA mandatory

5. Knowledge of SQL

Desirable to have:

1. Code review tools like pmd, sonar, Checkstyle

2. Knowledge of writing unit testing using Junit, Jmock, DBUnit etc.,

3. Knowledge to build scripts using ant, maven

4. Exposure to Agile Model

5. Exposure to BFSI domain

Team Handling/Generic skills

1. Self-driven, ready to learn and adapt depending on customer/organization needs

2. Excellent communication skills

Share resumes at ruchika@ netconnectglobal.com

Looking for Software Architects @ WinSoft Technologies (I) Pvt Ltd

Winsoft Technologies is offering experienced software developers and architects an unparalleled product engineering opportunity in cutting edge Software Defined Network (SDN) space, with fast-growing clients in the USA and Europe.

We are a talented team of software professionals with a strong technology and domain focused growth culture. You can look forward to an open, flexible working environment combined with a generous CTC package.

We invite the following individuals to contact us and have a conversation about this opportunity:

1) Senior Software Architect / Systems Designer (experience level: 7+ years)

 An expert having experience with a large variety of multi-tier architectures, aware of pitfalls & use cases for a large variety of Java-based solutions, collaborate with multiple teams to provide efficient and innovative solutions to business requirements preferably in the networking domain and have good understanding & experience of high-performance micro-services scale & real-time response systems.

If you take pride in your work and desire to leave a mark on the industry do consider joining our specialized team of engineers.