11+ Mortgage Jobs in Mumbai | Mortgage Job openings in Mumbai

Position: Business Manager/ Sales Manager

Experience: 6Month

Location: Mumbai andheri EAST

Budget: Upto 5.5 LPA

Skills: NBFC, LAP, Home loan, Mortgages Loan, DSA, DST, Builder Developers, Real Estate Agent.

Job Responsibilities -

● Identifying and onboarding the potential DSAs and Channel partners from open market

● Build and strengthen relationships with new and existing partners to drive business targets

● Provide day to day operational support to your channel partners

● Responsible for driving monthly sales targets and respective business metrics

Job Requirements -

● Excellent sales skills, e.g. rapport building and negotiation skills

● Good written and verbal communication skills

● Should have prior experience in NBFC and DSA preferably in mortgages (Home loan and

LAP)

● Own Conveyance and strong local industry network are preferred for this role

● Fluency in the regional language will be an additional benefit

Engineering Manager – Backend 

Location: Flexible / Hybrid (Mon–Fri)

Website: https://www.solarsquare.in

About the Role :

SolarSquare is building the infrastructure for India's clean energy transition. We're looking for an Engineering Manager who doesn't just run a team — someone who builds one from the ground up, makes consequential technical bets, and treats engineering outcomes as business outcomes.

You'll own the technical strategy and delivery for our full-stack platform, lead a growing team of SDE1–SDE3 engineers, and work directly with product, design, and business to shape what we build and how fast we build it. This is a role for someone who has operated in resource-constrained environments, shipped systems that held up under pressure, and left every team they've led measurably better than they found it.

If you've only ever executed someone else's roadmap, this isn't the right fit. If you've ever built something from scratch and felt personally responsible for whether it worked.

What You'll Own :

Team & Culture

• Build, hire, and develop a high-performing full-stack engineering team  including setting the bar for what "high-performing" means at SolarSquare
• Create genuine career growth paths for engineers.
• Maintain team health, retention, and motivation through periods of rapid change and ambiguity

Technical Strategy

• Define and drive the architectural roadmap
• Make and own technical bets: when to invest in platform, when to ship fast, when to pay down debt
• Establish observability, reliability, and security standards before they become production fires

Delivery

• Translate business goals into engineering priorities  and push back when the translation is wrong
• Set clear goals, metrics, and delivery expectations; hold yourself and the team accountable to them
• Manage trade-offs between short-term product velocity and long-term engineering health

Cross-Functional Influence

• Partner with Product, Design, and Business stakeholders  and influence decisions upstream.
• Communicate technical risk, cost, and complexity clearly to non-technical leadership
• 
  

What We're Looking For :

• 7–10 years of engineering experience, with at least 3 years leading teams.
• Strong understanding of distributed systems design: idempotency, retries, DLQs, circuit breakers, eventual consistency, you've had to debug these in production.
• Proven experience with event-driven architecture and Kafka including schema design, consumer group management, and failure recovery patterns.
• Comfort with relational (PostgreSQL) and NoSQL (MongoDB, Redis, ) databases  including query optimisation and schema design decisions at scale.
• You've designed or operated systems handling meaningful traffic  ideally 10K+ RPS. significant daily transaction volumes, or consumer-scale user bases (1M+ users)
• You understand what 99.99% uptime actually costs to maintain and you've made the infrastructure and on-call decisions to back it.
• You've written or enforced SLOs, SLAs, and incident management processes.
• You've done a postmortem that changed something real about how the team operates.
• Hands-on experience with AWS, GCP, or Azure beyond just deploying services, cost optimisation, right-sizing, architecture decisions that meaningfully reduced spend
• Working knowledge of containerisation (Docker) and orchestration (Kubernetes) enough to unblock your team.
• CI/CD pipeline ownership  you've built or significantly improved a pipeline.
• Experience with observability tooling: Prometheus, Grafana, Datadog, ELK, or equivalent  and more importantly, a philosophy about what to instrument and why
• You've made the call between monolith and microservices  and you can defend it with context.
• You've managed technical debt consciously: triaged it, prioritised it, and made the case to stakeholders for when to pay it down
• You've navigated a hard conversation with a product or business stakeholder  and changed the outcome
• Your engineers grow under you. You can point to people you've promoted, coached, or unblocked
• You know how to build alignment across functions where incentives don't naturally align
• You have clear examples of decisions you made under ambiguity  and you can articulate the trade-offs you weighed
• You've identified a systemic problem and fixed it without being asked
• You've built or rebuilt something that wasn't working  a team, a process, a system

Work Arrangement

Flexible work setup, including hybrid options. Monday to Friday. Learn more about us at https://www.solarsquare.in.

Designation: Campus Admin Officer

Department: Admin

Location: Mahape, Navi Mumbai

Experience Required: Min 1.5 – 2 years

Employment Type: Full-Time

Working Days & Timings

·     It is a 6-day working week.

Office timings:

·     Admin role: 8:00 AM to 6:00 PM

Job Summary

We are looking for a reliable and hands-on Campus Admin Officer to manage and maintain the

Electrical, Telecom & IT systems of our 120-employee office in Mahape, Navi Mumbai. The role

involves end-to-end responsibility for identifying and fixing electrical faults, desktops, printers,

intercom systems, LAN connections, and WiFi networks to ensure smooth daily operations with

minimal downtime.

Key Responsibilities

1. Electrical System Maintenance

 Diagnose and resolve electrical faults promptly to minimize downtime.

 Identifying and resolving issues with electrical appliances, office lights, fans, etc.

 Troubleshooting issues related to generators, UPS, power supply cabling, etc.

2. IT Systems Management

 Maintain desktops and laptops for employees.

 Maintain office LAN network and structured cabling.

 Coordinate with vendors for servicing, repairs, and consumables.

 Maintain inventory of IT peripherals and spare equipment.

3. Intercom & Communication Systems

 Maintain and troubleshoot internal intercom systems.

 Coordinate with service vendors for maintenance and repairs.

Required Qualifications & Skills

 1.5 -2 years of hands-on experience in maintaining Electrical & IT systems.

 Ability to communicate in English, Hindi or Marathi

 Basic knowledge of modems, routers, and switches.

 Good communication skills and ability to support non-technical users.

 Ability to work independently and manage day-to-day operations.

The RPA Business Analyst will play a key role in analysing banking processes to identify opportunities for automation and optimization using Robotic Process Automation (RPA) tools. With experience in the banking domain, the candidate will collaborate with stakeholders, gather requirements, document processes, and work closely with RPA developers to design, implement, and improve automated workflows.

Criteria

Mandatory

Strong Dremio / Lakehouse Data Architect profile

Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio

Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems

Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts

Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)

Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics

Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices

Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline

Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

System Administrator : Linux : L3

Job Description

• Degree BE/B.Tech/MCA in IT/Computer Science/ Electronics & Communication/Electronics or higher with Red hat Certified Engineer (RHCE)/Microsoft
• Certified Server Administrator (MCSA).
• Total 7 - 10 years of experience Server Administration.
• Good exposure to Server administration and Basic Networking skills
• Management of Enterprise level servers (Linux/Windows).
• Engineer should have expertise in areas Like trouble shooting and handling of various Server level issues.
• The engineer must provide support in patch management/security operations.
• Hands-on experience on troubleshooting server-side Network related issue in coordination with network team
• Cluster configuration, monitoring & troubleshooting

Technology Knowledge Areas -

• RedHat Linux
• VMWare
• Windows Server 2008/2012/2016/2019 and latest, Powershell, HCIS and
• Virtualization
• Storage Backup
• Virtualization Technology & VMWare Private Cloud
• Cloud Computing
• Schedulers, Cron Jobs, Transaction logging Annexure to RFP No. 8944 Scope of Work
• NSEIL
• Active Directory & Domain Knowledge
• TCP/IP Connection
• DR & BCP
• HCIS, Powershell/Public Cloud/Scripting
• Knowledge of Server Hardware is required (HP, DELL, CISCO UCS etc.,)
• Knowledge in multiple OS Windows/Linux
• Performance Management, Optimization and Capacity Planning
• Understanding, Monitoring of Storage and Cluster
• Understanding of Networks and DNS
• Escalation Management (Internal, within NSEIL and with OEM) and Good communication skills

The Data Engineering team is one of the core technology teams of Lumiq.ai and is responsible for creating all the Data related products and platforms which scale for any amount of data, users, and processing. The team also interacts with our customers to work out solutions, create technical architectures and deliver the products and solutions.

If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how a customer can use our products, then Lumiq is the place of opportunities.

Who are you?

• Enthusiast is your middle name. You know what’s new in Big Data technologies and how things are moving
• Apache is your toolbox and you have been a contributor to open source projects or have discussed the problems with the community on several occasions
• You use cloud for more than just provisioning a Virtual Machine
• Vim is friendly to you and you know how to exit Nano
• You check logs before screaming about an error
• You are a solid engineer who writes modular code and commits in GIT
• You are a doer who doesn’t say “no” without first understanding
• You understand the value of documentation of your work
• You are familiar with Machine Learning Ecosystem and how you can help your fellow Data Scientists to explore data and create production-ready ML pipelines

Experience

• At least 2 years of Data Engineering Experience
• Have interacted with Customers

Must Have Skills

• Amazon Web Services (AWS) - EMR, Glue, S3, RDS, EC2, Lambda, SQS, SES
• Apache Spark
• Python
• Scala
• PostgreSQL
• Git
• Linux

Good to have Skills

• Apache NiFi
• Apache Kafka
• Apache Hive
• Docker
• Amazon Certification

Job Type: Full-time

CTC Offering : 3.6L PA to 6L PA

Job Location: Remote for 6-9 months due to the pandemic, then Mumbai, Maharashtra

Required experience:

• Minimum 1.5 to 2 year of experience in Web & Backend Development using Python with experience in some form of Machine Learning ML Algorithms

Overview

We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python 3.x based web and backend development

2. Solid understanding of Python concepts

3. Experience with some form of Machine Learning (ML)

4. Experience in using libraries such as Numpy and Pandas

5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar

6. Hands on experience with RDBMS such as Postgres or MySQL

7. Experience building REST APIs using DRF or Flask

8. Comfort with Git repositories, branching and deployment using Git

9. Working experience with Docker

10. Basic working knowledge of ReactJs

11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

KRAs includes:

1. Understanding the scope of work

2. Understanding and adopting the current internal development workflow and processes

3. Understanding client requirements as communicated by the project manager

4. Arriving on timelines for projects, either independently or as a part of a team

5. Executing projects either independently or as a part of a team

6. Developing products and projects using Python

7. Writing code to collect and mathematically analyse large volumes of data.

8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to

provide optimal deliveries on time

9. Writing Scalable, maintainable code

10. Building secured REST APIs

11. Setting up batch task processing environments using Celery

12. Unit testing prepared modules

13. Bug fixing issues as reported by the QA team

14. Optimization and performance tuning of code

Bonus but not mandatory

1. Nodejs

2. Redis

3. PHP

4. CI/CD

5. AWS