java Developer

About Us

We are a high-growth startup building products at scale that impact millions of users daily. As we prepare for the next phase of growth, data will be at the heart of every decision — powering product, marketing, operations, and finance. We are looking for a Director of Analytics to lead the charge in shaping our data strategy, building scalable infrastructure, and creating a high-performing analytics organization.

Role & Responsibilities

As the Director of Analytics, you will:

• Lead the next generation of our Data Mart: Redesign and optimize data models to support large-scale analytics and faster decision-making.
• Define the tools & frameworks for data creation, transformation, and consumption across the company.
• Build unified data views: Integrate behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cases.
• Own analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.
• Partner with product, marketing, CRM, operations, and finance teams to ensure data is democratized and actionable.
• Establish data governance, quality standards, and best practices for the org.
• Drive adoption of self-service analytics and empower teams with the right dashboards, reporting, and insights.
• Introduce and scale ML-driven insights: Collaborate with product and engineering to enable use cases like personalization, predictive modeling, and anomaly detection.
• Build and mentor a cross-functional analytics team spanning business/operations analytics, marketing/CRM analytics, and product/finance analytics.
• Partner with engineering leadership to ensure scalability, reliability, and efficiency of the data infrastructure.

What We’re Looking For

• Experience: 8+ years in data & analytics leadership, with proven success in building data marts and defining enterprise-wide data consumption strategies.
• Strong track record of running analytics across mobile, web, marketing, product, and operations data ecosystems.
• Deep technical expertise in data modeling, flat table structures, and query optimization for large-scale systems.
• Hands-on experience with both behavioral and transactional data, and integrating them into a single analytics layer.
• Strong knowledge of modern data stack (SQL, ETL/ELT, cloud data warehouses like Snowflake/BigQuery/Redshift, BI tools like Looker/PowerBI/Tableau).
• ML Competency: Familiarity with machine learning workflows (data pipelines for ML, feature engineering, model monitoring) and ability to guide data scientists in building predictive/ML models.
• Proven ability to build and scale analytics teams, with experience in functions such as business/operations, marketing/CRM, and product/finance analytics.
• Strong business acumen — ability to translate data into actionable insights for growth, retention, and efficiency.
• Excellent stakeholder management and communication skills, comfortable influencing at the CXO level.

KPIs / Success Metrics

Success in this role will be measured by:

• Data Infrastructure & Scale
• Launch of next-gen data mart within defined timelines.
• Reduction in data processing and reporting times (e.g., <5 mins refresh for key dashboards).
• Uptime and reliability of data pipelines and consumption layers.
• Adoption & Impact
• % of org actively using self-service analytics tools.
• Increase in cross-team usage of standardized data views (product, marketing, finance, operations).
• Reduction in ad-hoc analytics requests due to robust self-service solutions.
• Data Quality & Governance
• % improvement in data accuracy and consistency across sources.
• Establishment and adoption of data governance frameworks.
• Team & Leadership
• Successful hiring and scaling of a multi-disciplinary analytics team.
• Retention and growth of top talent within the analytics function.

Why Join Us?

• Opportunity to own the analytics vision of a company that is scaling rapidly.
• Build the next-gen data mart and analytics layer from scratch — a rare chance to define the foundation for years to come.
• Work on high-volume, high-velocity data across mobile, web, marketing, product, and operations.
• High visibility role, directly collaborating with founders and leadership.
• Build a world-class analytics team and shape the culture of data-driven decision-making

Job Title: Executive Assistant to Director

Location: Noida

Experience: 3–6 Years

Employment Type: Full-time

Job Description:

We are looking for an Executive Assistant to Director who will manage and coordinate end-to-end organizational processes. The role includes supporting the Director in Sales, Marketing, HR, Admin, client coordination, meetings, follow-ups, task delegation, and KRA/KPA tracking. The candidate will also assist in creating presentations using Canva and support internal trainings. Additionally, the role requires basic knowledge of Podcast management and Facebook Live / social media live sessions for branding and communication activities.

Key Responsibilities:

• Executive assistance and coordination for Director
• Sales, marketing, HR, and admin coordination
• Client communication and follow-ups
• Meeting scheduling, MOMs, and task tracking
• KRA/KPA monitoring and reporting
• Presentation creation (Canva/PPT)
• Support podcasts, Facebook Live, and live sessions

Skills Required:

• Strong coordination and communication skills
• Proficiency in Canva and MS Office
• Knowledge of Podcast / Facebook Live handling
• Excellent follow-up and multitasking ability

Qualification:

Graduate / MBA preferred

Job Type: Full-time

Benefits:

• Flexible schedule

Ability to commute/relocate:

• Ghaziabad, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required)

Experience:

• total work: 5 years (Preferred)

Language:

• English (Preferred)

Work Location: In person

1. Scouting for LAP loan leads

2. Collecting documents from customer and submitting it at nearby branch

3. Explaining all Loan related processes and charges to customer

4. Clearly communicating all loan related charges to customers

5. Having Loan case file in proper order

6. Ensuring all communication with customer once documents are received

7. Ensuring all TAT's are followed in moving the loan file forward

8. Providing all necessary customer support

Qualification:12th std pass out

Language: Kannada

JD for Cloud engineer

Job Summary:

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
• Implement Google Cloud Storage, Cloud SQL, filestore,  for data storage and processing needs.
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

Required Experience: 

Skill Set:

• Primary skills
• Experienced Database resource with 4+ years of experience in following Mainframe technologies:
• DB2
• DB2 Stored Procedures, native SQL
• COBOL, JCL
• UDB- Universal Database DB2 on Linux/Unix
• Batch Processing
• MQ

• Good to have skills
• Knowledge of distributed applications and Unix scripting, Python is good to have.
• Prior experience on Mainframe modernization.
• Prior Morgan Stanley or Financial Services experience is a plus

• Looking for “Mainframe Production Support”
• Job Location- Bangalore
• Position: Mainframe Production Support (Good experience in Java)
• Job Description:
• Looking for strong Cobo/PL1, DB2, JCL
• Good exposure in Production Support.
• Good Interpersonal skills.
• Good exposure in handling tickets, RCA and Resolving issues.
• Good IN Core Java or API concepts
• Who can do migration from Mainframe to Java