Appian Developer

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 Summary:

The Localization Project Coordinator supports the planning, execution, and delivery of multilingual localization projects, ensuring content is accurately translated and culturally adapted for target markets while meeting deadlines, quality standards, and budget requirements.

Key Responsibilities:

• Coordinate end-to-end localization projects including translation, proofreading, QA, desktop publishing (DTP), and delivery.
• Act as the primary point of contact between clients, linguists, vendors, and internal teams.
• Create project timelines, assign resources, and monitor progress to ensure on-time delivery.
• Prepare project files, instructions, glossaries, translation memories, and reference materials.
• Manage vendor communication including freelance translators, editors, and language service providers.
• Track project status, risks, issues, and escalations; proactively resolve bottlenecks.
• Conduct quality checks to ensure translated content meets linguistic and formatting standards.
• Maintain project documentation, reports, and billing-related records.
• Coordinate with engineering/product/content teams for file preparation and technical localization requirements.
• Use localization tools (CAT tools/TMS) to manage workflows and assets.
• Support continuous process improvement for localization operations.

Required Skills:

• Strong project coordination and organizational skills
• Excellent communication and stakeholder management
• Ability to manage multiple projects under tight deadlines
• Attention to detail and quality focus
• Problem-solving and escalation management
• Vendor management experience
• Time management and prioritization

Preferred Tools / Technical Knowledge:

• CAT tools: SDL Trados, MemoQ, Smartcat, Phrase, XTM
• TMS platforms
• Excel / Google Sheets
• Jira / Asana / Monday.com
• Basic understanding of file formats: XML, HTML, JSON, InDesign, MS Office

Qualifications:

• Bachelor’s degree in Business, Languages, Communications, Project Management, or related field
• 0–1 years of project coordination / localization / operations experience
• CAPM/PMP certification (nice to have)

Common KPIs:

• On-time delivery rate
• Project quality / QA accuracy
• Client satisfaction
• Budget adherence
• Vendor turnaround time
• Number of escalations/issues resolved

About the Role:

As a Channel Sales Manager, you will play a key role in building strong relationships within the luxury real estate sector, expanding the channel partner network, and driving business growth. This role is ideal for someone with a strong network in Bangalore’s real estate market who enjoys creating long-term partnerships.

Key Responsibilities:

• Build and expand a channel partner network within the Bangalore luxury real estate market.
• Source high-value customers through partner connections and manage sales funnels.
• Collaborate with luxury brokers, developers, and real estate stakeholders.
• Drive on-field sales & marketing campaigns (BTL activities).
• Maintain high partner satisfaction and strong relationships.

Requirements:

• 4–5 years’ experience in Bangalore luxury real estate.
• Excellent knowledge of property locations, pricing, and customer profiles.
• Strong network with high-value players in the real estate sector.
• Great communication and relationship-building skills.
• Proactive, goal-oriented team player.

📍 Location: Bangalore

🗓 Working Days: Tuesday to Sunday (Monday Off)

🏢 Industry: Luxury Interior Design + Real Estate

Job Responsibilities :

· Design, Development, Testing and Implementation of new customization in D365 & NAVISION with writing code in C/AL programming

· Addressing support issues for all locations

Essential Skills:

· Strong Technical Experience on Dynamic Nav

· Having good technical knowledge in D365 Business Central 

· Strong Technical C/AL Language Skill

· MS SQL query writing 

· SQL reports 

· Basic Process Data Flow Understanding in NAV

· Knowledge of designing, testing, development inhouse for Navision

· Good communication skills

· Good team player

Experience :- Minimum 2 - 8 years or any.

API Lead Developer

Job Overview:

As an API developer for a very large client, you will be filling the role of a hands-on Azure API Developer. we are looking for someone who has the necessary technical expertise to build and maintain sustainable API Solutions to support identified needs and expectations from the client.

Delivery Responsibilities

• Implement an API architecture using Azure API Management, including security, API Gateway, Analytics, and API Services
• Design reusable assets, components, standards, frameworks, and processes to support and facilitate API and integration projects
• Conduct functional, regression, and load testing on API’s
• Gather requirements and defining the strategy for application integration
• Develop using the following types of Integration protocols/principles: SOAP and Web services stack, REST APIs, RESTful, RPC/RFC
• Analyze, design, and coordinate the development of major components of the APIs including hands on implementation, testing, review, build automation, and documentation
• Work with DevOps team to package release components to deploy into higher environment

Required Qualifications

• Expert Hands-on experience in the following:
• Technologies such as Spring Boot, Microservices, API Management & Gateway, Event Streaming, Cloud-Native Patterns, Observability & Performance optimizations
• Data modelling, Master and Operational Data Stores, Data ingestion & distribution patterns, ETL / ELT technologies, Relational and Non-Relational DB's, DB Optimization patterns
• At least 5+ years of experience with Azure APIM
• At least 8+ years’ experience in Azure SaaS and PaaS
• At least 8+ years’ experience in API Management including technologies such as Mulesoft and Apigee
• At least last 5 years in consulting with the latest implementation on Azure SaaS services
• At least 5+ years in MS SQL / MySQL development including data modeling, concurrency, stored procedure development and tuning
• Excellent communication skills with a demonstrated ability to engage, influence, and encourage partners and stakeholders to drive collaboration and alignment
• High degree of organization, individual initiative, results and solution oriented, and personal accountability and resiliency
• Should be a self-starter and team player, capable of working with a team of architects, co-developers, and business analysts

Preferred Qualifications:

• Ability to work as a collaborative team, mentoring and training the junior team members
• Working knowledge on building and working on/around data integration / engineering / Orchestration
• Position requires expert knowledge across multiple platforms, integration patterns, processes, data/domain models, and architectures.
• Candidates must demonstrate an understanding of the following disciplines: enterprise architecture, business architecture, information architecture, application architecture, and integration architecture.
• Ability to focus on business solutions and understand how to achieve them according to the given timeframes and resources.
• Recognized as an expert/thought leader. Anticipates and solves highly complex problems with a broad impact on a business area.
• Experience with Agile Methodology / Scaled Agile Framework (SAFe).
• Outstanding oral and written communication skills including formal presentations for all levels of management combined with strong collaboration/influencing.

Preferred Education/Skills:

• Prefer Master’s degree
• Bachelor’s Degree in Computer Science with a minimum of 12+ years relevant experience or equivalent.

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)