District Sales Manger

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

Review Criteria

• Strong Senior Data Engineer profile
• 4+ years of hands-on Data Engineering experience
• Must have experience owning end-to-end data architecture and complex pipelines
• Must have advanced SQL capability (complex queries, large datasets, optimization)
• Must have strong Databricks hands-on experience
• Must be able to architect solutions, troubleshoot complex data issues, and work independently
• Must have Power BI integration experience
• CTC has 80% fixed and 20% variable in their ctc structure

Preferred

• Worked on Call center data, understand nuances of data generated in call centers
• Experience implementing data governance, quality checks, or lineage frameworks
• Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture

Job Specific Criteria

• CV Attachment is mandatory
• Are you Comfortable integrating with Power BI datasets?
• We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

Ideal Candidate

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

Strong MLOps profile

Mandatory (Experience 1) - Must have 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments

Mandatory (Experience 2) - Must have 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production

Mandatory (Experience 3) - Must have 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation

Mandatory (Experience 4) - Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch

Mandatory (Experience 5) - Must have hands-on Python for pipeline & automation development

Mandatory (Experience 6) - Must have 4+ years of experience in AWS cloud, with recent companies

Mandatory (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred

We’re Hiring: Relationship Manager – Retail Sales 🌟

📍 Locations: Mumbai | Ahmedabad | Aurangabad

🕒 Mon–Sat | ⏰ 10 AM – 6:30 PM

🎓 Qualification: Graduate | 💼 Exp: 1–5 yrs

🔹 Key Responsibilities:

✨ Drive client acquisition & achieve GWP sales targets

🤝 Manage & grow a network of 40–45 insurance agents

📊 Provide accurate quotations & close policy sales

🎯 Ensure 100% monthly GWP target achievement

💬 Build & maintain strong client & agent relationships

📋 Prepare daily/weekly MIS & ensure process compliance

💡 Skills Required:

📚 Insurance product knowledge

🗣️ Excellent communication & relationship management

⚡ Leadership & business acumen

🎁 Benefits:

💰 Competitive salary & incentives

🎓 Training & professional growth opportunities

🩺 Insurance coverage (GTL)

🤝 Supportive, growth-oriented work culture

You will be responsible to develop product road map and go-to-marketstrategy for new epay products and service.

Key Responsibilities:

• Design & execute Euronet Prepaid Card Product & GTM strategy

• Design and execute Product roadmap for Government Payments, Mutual Funds, Credit Card Bill Payments and other TSP roles that Euronet can play in the market

• Work with Sales teams on new business opportunities evaluation, solutioning and implementation

• Validate product propositions, their value to end clients and cost/pricing impacts

• Work closely with engineering team on the technology development and deployment

• Contribute to both qualitative and quantitative market research as to validate trends and recommend functionality enhancements

• Manage complete product lifecycle, including strategy, conceptualisation, user research, feature requirements, user interface, prototyping, underwriting, execution and Go-to-Market

• Create new offerings by demonstrating cohesive end-to-end thinking and collaborate with cross functional teams to define the work required to successfully deliver and realize a winning product offering

• Determine current and future product needs through own expertise and market knowledge, competitive product benchmarking, feedback from clients, epay sales team and other internal functions

• Be the expert for a complete product solutions space by thoroughly knowing the product functionality, constraints, business process, value, customer profile and industry domain (across core processes), how it’s used, and where it meets or fails to meet customer needs, helps teams solve problems through problem domain expertise

• Track interesting trends on emerging product offerings that are relevant to business

• Liaise with internal marketing team for promotion of products/services

• Support epay sales teams in preparing their sales forecasts based on the product development roadmap and enablement strategy

• Liaise with epay finance team in business case profitability analysis

• Prepare and present business reviews to the Executive Leadership of Euronet

• 3+ years of Salesforce.com development experience as well as experience in systems integration
• Strong Experience in lightning development.
• Strong experience with APEX APIs, APEX Triggers, Visual force, Chatter, Apex Data Loader etc.,
• Design & implement APIs and web-based interfaces utilizing Apex code, Web Services, etc
• Adhere best practices and standards while developing salesforce applications.
• Prepare technical design / specification documents from the business requirement.
• Work closely with the Architecture team, Platform Engineers, implementation partners, 3rd party vendors and other technology teams.
• Ensure on time delivery of the tasks assigned with high quality and standard.
• Salesforce Sales cloud and PD 1 / 2 Certifications is desired