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We are seeking a highly skilled Backend Developer to join our dynamic team. As a backend developer, you will play a critical role in designing, developing, and maintaining the core infrastructure and APIs that power our applications. You will work on creating scalable, efficient, and secure backend solutions leveraging cutting-edge technologies.

Key Responsibilities

• Develop and maintain server-side logic, APIs, and services using Node.js.
• Design and implement data storage solutions with MongoDB for scalability and reliability.
• Integrate and manage caching mechanisms using Redis to enhance application performance.
• Deploy, monitor, and maintain backend services on AWS using services like EC2, Lambda, S3, RDS, and more.
• Ensure system security and data protection by following industry best practices.
• Debug and optimize code for performance, scalability, and reliability.
• Collaborate with frontend developers, product managers, and other stakeholders to ensure seamless integration and delivery.
• Write clean, well-documented, and testable code.
• Monitor and manage the health and performance of backend systems, implementing alerting and monitoring solutions.

Required Skills and Qualifications

• Strong proficiency in Node.js, with at least [Insert Minimum Years, e.g., 3+ years] of hands-on experience.
• Hands-on experience with MongoDB and a strong understanding of NoSQL database design principles.
• Proficiency in Redis, including configuring, maintaining, and optimizing its usage.
• Solid experience with AWS services, including deploying, managing, and scaling cloud-based solutions.
• Familiarity with RESTful API design and best practices.
• Understanding of asynchronous programming and event-driven architecture.
• Experience with version control systems like Git.
• Knowledge of best practices in software development, including CI/CD and automated testing.
• Problem-solving mindset with strong debugging and troubleshooting skills.

Preferred Skills

• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with serverless architecture and services such as AWS Lambda.
• Knowledge of authentication and authorization mechanisms (OAuth, JWT).
• Exposure to message queues like RabbitMQ or Amazon SQS.

Technical Skills:

• Ability to understand and translate business requirements into design.
• Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
• Experience in creating ETL jobs using Python/PySpark.
• Proficiency in creating AWS Lambda functions for event-based jobs.
• Knowledge of automating ETL processes using AWS Step Functions.
• Competence in building data warehouses and loading data into them.

Responsibilities:

• Understand business requirements and translate them into design.
• Assess AWS infrastructure needs for development work.
• Develop ETL jobs using Python/PySpark to meet requirements.
• Implement AWS Lambda for event-based tasks.
• Automate ETL processes using AWS Step Functions.
• Build data warehouses and manage data loading.
• Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.

Company Profile:

Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to payments, lending, subscription, eKYC is happening at the same time.

We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. The company is based out of Pune and has a total strength of 180 employees. Easebuzz’s corporate culture is tied into the vision of building a workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.

Easebuzz Pvt. Ltd. has its presence in Pune, Bangalore, Gurugram.

Salary: As per company standards.

Designation: Data Engineering

Location: Pune

Experience with ETL, Data Modeling, and Data Architecture

Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties
- Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue.

Experience with AWS cloud data lake for development of real-time or near real-time use cases

Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and processing

Build data pipeline frameworks to automate high-volume and real-time data delivery

Create prototypes and proof-of-concepts for iterative development.

Experience with NoSQL databases, such as DynamoDB, MongoDB etc

Create and maintain optimal data pipeline architecture,

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow

Build and enhance data pipeline architecture by designing and implementing data ingestion solutions.

Employment Type

Full-time