Customer Support executive

Role- Data Analyst

Experience- 2 to 5 years

Location-Bangalore

Job Role-

● Experience: Minimum of 2+ years of professional experience in a data-heavy

environment (E-commerce or Fintech experience is a plus).

● SQL Mastery: Exceptional ability to write complex joins, window functions, Analytical

functions, and CTEs. Experience with high-scale databases (e.g., BigQuery, Hive, or

Postgres).

● Scripting: Functional knowledge of Python for data manipulation (Pandas, NumPy)

and basic automation scripts.

● Systems Thinking: Ability to understand upstream data flows and how they impact

downstream reporting.

● Problem-Solving: A "detective" mindset—you enjoy digging into a Rs 600Cr discrepancy until you find the root cause

Job Title : Backend Developer (Node.js or Python/Django)

Experience : 2 to 5 Years

Location : Connaught Place, Delhi (Work From Office)

Job Summary :

We are looking for a skilled and motivated Backend Developer (Node.js or Python/Django) to join our in-house engineering team.

Key Responsibilities :

• Design, develop, test, and maintain robust backend systems using Node.js or Python/Django.
• Build and integrate RESTful APIs including third-party Authentication APIs (OAuth, JWT, etc.).
• Work with data stores like Redis and Elasticsearch to support caching and search features.
• Collaborate with frontend developers, product managers, and QA teams to deliver complete solutions.
• Ensure code quality, maintainability, and performance optimization.
• Write clean, scalable, and well-documented code.
• Participate in code reviews and contribute to team best practices.

Required Skills :

• 2 to 5 Years of hands-on experience in backend development.
• Proficiency in Node.js and/or Python (Django framework).
• Solid understanding and experience with Authentication APIs.
• Experience with Redis and Elasticsearch for caching and full-text search.
• Strong knowledge of REST API design and best practices.
• Experience working with relational and/or NoSQL databases.
• Must have completed at least 2 end-to-end backend projects.

Nice to Have :

• Experience with Docker or containerized environments.
• Familiarity with CI/CD pipelines and DevOps workflows.
• Exposure to cloud platforms like AWS, GCP, or Azure.

Manage end-to-end accounting operations including accounts payable, receivable, reconciliations, and general ledger

Prepare and finalize monthly, quarterly, and annual financial statements

Ensure compliance with statutory requirements including GST, TDS, and Income Tax

Coordinate with auditors for statutory and internal audits

Handle vendor and customer account reconciliations

Implement and monitor financial controls, policies, and processes

Support budgeting, forecasting, and financial planning

Analyze financial data and provide actionable insights to management

Collaborate cross-functionally with operations, logistics, and business teams for seamless finance support

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

Data Validation

Sales coordination with internal and external departments

Should have Excellent communication, sales, and customer service skills.

Hiring and training interns and ensuring staff meets their quotas and goals

Helping the sales team improve their productivity by contacting customers to arrange appointments and ensuring

We are building a global content marketplace that brings companies and content creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands.

We are creating high-quality remote talent workforces across Content Writers, Graphic Designers, Video Makers, Content Strategists, Audio Artists, and eventually aim to cover each and every creative professional involved in the marketing domain. Imagine us being able to build virtual marketing teams for any company globally, by providing them a product that solves for content operations and gives the customer the ability to strategize, create, distribute and manage all their content projects at one place. At the same time, they have the ability to be able to extend their team by being matched with high-quality creators from our talent marketplace for different projects that they have. It isn’t long before content becomes so fundamental to individuals and brands alike, that there is a need for buying and selling content on-demand. We want to be that force of change!

Responsibilities: -

• We are looking for solid senior back-end developers who are well-versed with NodeJs.
• The tech stack on the back end side - MySQL, Postgres, Redis, Node, TypeScript, Express, Knex.
• We are looking at folks who have a minimum of 6-7 years of experience in back-end development and have been strong experience.
• The mindset is very different and we are looking for folks who have evolved fast in terms of skills and in terms of working on their own projects.

• 5+ years of JavaScript experience
• Extensive experience with Angular and Ionic
• 5+ years of object-oriented software development of web applications
• Mobile app development and testing (Android and IOS)
• Deep knowledge of AngularJS practices and commonly used modules based on extensive work experience
• Preferable Experience in Cloud Technologies (AWS, AZURE)
• Experience with MS SQL stored procedures, database design and optimization
• Experience developing and utilizing web services
• Experience with high volume consumer-oriented web sites
• Experience working in an Agile Scrum environment
• Experience with formal test procedures, release management
• Preferable Travel industry experience preferred, especially programming associated with GDS’s - SABRE, Farelogix, and Travelport
• Ability to distill complex business needs into functional requirements
• Excellent follow-up, verbal and written communication skills
• Excellent problem-solving skills and an ability to make good decisions
• Team player with a professional attitude
• Ability to manage multiple tasks and maintain tight schedules
• Ability to work effectively with a geographically dispersed team in India

Strategic and Development Responsibilities

• Ability to "think outside the box"
• Ability to provide accurate and timely project estimates.

Software Tools/Languages

Required:        MS Visual Studio, MS SQL Server Management Studio, IIS, AWS, Angular, Ionic, Android, C#, Web Services, MS SQL (stored procedures), Jenkins, DevOps Tools.

Education

• Bachelor of Science in CS, MIS, or equivalent.

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility