Product Manager

Role & Responsibilities

We're seeking an exceptional design leader to manage and guide a team of talented multidisciplinary designers in one of the fastest growing tech startups of the nation to drive it towards becoming the best design team in the industry.

Roles and Responsibilities:

Manage the team and the work-

Own a team of multi-disciplinary designers consisting of product designers, visual designers, visual communication designers and researchers.

Along with the design leads, manage various design projects and their priorities.

Help the team in resolving blockers. Ensure the output meets business goals,

deadlines and the quality bar.

Shape up product direction and drive design-led projects-

Take part in ideation, planning and prioritization of our diverse range of products & features keeping the short and long-term goals of the organization in mind.

Find out new directions that we can take in our quest to make payments and finance easy and accessible to all.

Strategise, prioritize and drive design-led projects. Also, help to extend the existing design systems and build new ones.

Mentor, Guide and Lead the Team-

You will be responsible for the growth of the team. Help them grow their soft and hard skills. Help them define their career paths, identify opportunities and level up to do the best work of their lives.

Raise the Bar-

● You will set the bar high. You know what quality looks like and how to help product teams ship at that quality with minimal impact on velocity.

Drive and improve the design process-

Iterate upon and improve the design processes to introduce the best practices within the team. Bring in users to the center of the process and encourage design decisions to be backed by user-behavior and data.

Create frameworks and guidelines for the team to deliver better and faster.

Conduct design reviews and status meetings. Facilitate design sprints, workshops, brainstorming sessions.

Prioritize research and design improvement opportunities in a fast-paced, rapidly changing environment.

Share engineering principles to guide

Jd

Job Title: Full-Stack developer

Experience: 5 to 8+ Years

ASAP Start Immediately

Key Responsibilities

Develop and maintain end-to-end web applications, including frontend interfaces and backend services.

Build responsive and scalable UIs using React.js and Next.js.

Design and implement robust backend APIs using Python, FastAPI, Django, or Node.js.

Work with cloud platforms such as Azure (preferred) or AWS for application deployment and scaling.

Manage DevOps tasks, including containerization with Docker, orchestration with Kubernetes, and infrastructure as code with Terraform.

Set up and maintain CI/CD pipelines using tools like GitHub Actions or Azure DevOps.

Design and optimize database schemas using PostgreSQL, MongoDB, and Redis.

Collaborate with cross-functional teams in an agile environment to deliver high-quality features on time.

Troubleshoot, debug, and improve application performance and security.

Take full ownership of assigned modules/features and contribute to technical planning and architecture discussions.

Must-Have Qualifications

Strong hands-on experience with Python and at least one backend framework such as FastAPI, Django, or Flask, Node.js .

Proficiency in frontend development using React.js and Next.js

Experience in building and consuming RESTful APIs

Solid understanding of database design and queries using PostgreSQL, MongoDB, and Redis

Practical experience with cloud platforms, preferably Azure, or AWS

Familiarity with containerization and orchestration tools like Docker and Kubernetes

Working knowledge of Infrastructure as Code (IaC) using Terraform

Experience with CI/CD pipelines using GitHub Actions or Azure DevOps

Ability to work in an agile development environment with cross-functional teams

Strong problem-solving, debugging, and communication skills

Start-up experience preferred – ability to manage ambiguity, rapid iterations, and hands-on leadership.

Technical Stack

Frontend: React.js, Next.js

Backend: Python, FastAPI, Django, Spring Boot, Node.js

DevOps & Cloud: Azure (preferred), AWS, Docker, Kubernetes, Terraform

CI/CD: GitHub Actions, Azure DevOps

Databases: PostgreSQL, MongoDB, Redis

Senior ETL developer in SAS

We are seeking a skilled and experienced ETL Developer with strong SAS expertise to join

our growing Data Management team in Kolkata. The ideal candidate will be responsible for

designing, developing, implementing, and maintaining ETL processes to extract, transform,

and load data from various source systems into Banking data warehouse and other data

repositories of BFSI. This role requires a strong understanding of Banking data warehousing

concepts, ETL methodologies, and proficiency in SAS programming for data manipulation

and analysis.

Responsibilities:

• Design, develop, and implement ETL solutions using industry best practices and

tools, with a strong focus on SAS.

• Develop and maintain SAS programs for data extraction, transformation, and loading.

• Work with source system owners and data analysts to understand data requirements

and translate them into ETL specifications.

• Build and maintain data pipelines for Banking database to ensure data quality,

integrity, and consistency.

• Perform data profiling, data cleansing, and data validation to ensure accuracy and

reliability of data.

• Troubleshoot and resolve Bank’s ETL-related issues, including data quality problems

and performance bottlenecks.

• Optimize ETL processes for performance and scalability.

• Document ETL processes, data flows, and technical specifications.

• Collaborate with other team members, including data architects, data analysts, and

business users.

• Stay up-to-date with the latest SAS related ETL technologies and best practices,

particularly within the banking and financial services domain.

• Ensure compliance with data governance policies and security standards.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• Proven experience as an ETL Developer, preferably within the banking or financial

services industry.

• Strong proficiency in SAS programming for data manipulation and ETL processes.

• Experience with other ETL tools (e.g., Informatica PowerCenter, DataStage, Talend)

is a plus.

• Solid understanding of data warehousing concepts, including dimensional modeling

(star schema, snowflake schema).

• Experience working with relational databases (e.g., Oracle, SQL Server) and SQL.

• Familiarity with data quality principles and practices.

• Excellent analytical and problem-solving skills.

• Strong communication and interpersonal skills.

• Ability to work independently and as part of a team.

• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

• Understanding of regulatory requirements in the banking sector (e.g., RBI guidelines)

is an advantage.

Preferred Skills:

• Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Azure

Synapse, Google BigQuery).

• Knowledge of big data technologies (e.g., Hadoop, Spark).

• Experience with agile development methodologies.

• Relevant certifications (e.g., SAS Certified Professional).

What We Offer:

• Competitive salary and benefits package.

• Opportunity to work with cutting-edge technologies in a dynamic environment.

• Exposure to the banking and financial services domain.

• Professional development and growth opportunities.

• A collaborative and supportive work culture.

A developer is responsible for several Java-related duties throughout the software development lifecycle, from concept and design to testing. The developer is required to create user information solutions through the development, implementation, and maintenance of Java-based components and interfaces.

Data Scientist

Requirements

● B.Tech/Masters in Mathematics, Statistics, Computer Science or another
quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,
Predictive modeling, Clustering, Deep Learning stack, NLP
● Working knowledge of Tensorflow/PyTorch

Optional Add-ons-

● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark
etc.
● Experience with databases: MongoDB