Backend Developer

The Role:

We are looking for an enthusiastic Technology Lead (Python or Node), who adopts a hands-on approach and loves to build scalable, distributed and large web / mobile products. You would be responsible for designing the architecture, reviewing the code, building the technology and deploying web/mobile applications.

Responsibilities:

• Own the product development from scratch.
• Design and implementation of low-latency, high-availability, and performant applications.
• Architect scalable software solutions and mentor a team of high performing developers.
• Participate in code reviews, design reviews, SCRUM ceremonies, and troubleshoot to ensure uptime for live systems etc.

Requirements:

• Bachelor's degree in a technology-related field from a premier college.  
• Prior 4+ years of experience in back-end development (Python/ Golang) in a start-up or a dynamic work environment.
• Good exposure in writing and optimizing SQL for high-performance systems.
• Understanding of asyncio and eventloop/ uvloop concepts. Knowledge of frameworks such as Quart/ Fastapi/ Starlette is preferred.
• Knowledge of AWS; Caching technologies like Redis, Memcache; ELK; mySQL Databases, etc.
• Strong understanding of System Design, Microservice Architecture, Kafka, Pub/Sub, Message queues, and in-memory data stores etc.
• Customer oriented, responsive to changes, and able to multi-task in a fast-paced environment.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Job Description:

§ Understanding client requirements & functional specifications.

§ Developing and maintaining dynamic websites and web applications.

§ Ensuring fool proof performance of the deliverable.

§ Coordinating with co-developers and other related departments.

§ Sending regular updated about the project status

Desired Candidate Profile:

· Proficient knowledge of a back-end programming language - one or more from Python, JavaScript, NodeJS

· Proficient knowledge of back-end server frameworks - Flask

· Proficient knowledge in handling any from JSON, XML & YAML

· Databases: MongoDB

· Proficient In configuring backend in Nginx Server

· Experience in building the API services from scratch - Project structuring, setting up environment objects, build reusable components, etc,

· IDE: Visual Studio Code, PyCharm Notepad++.

· Should have excellent written & oral communication skills (English)

· Must have the capacity to work independently and also as a part of a team

• Design and build user-facing products, owning the entire process from gathering functional requirements from teams, through testing and staging, to deploying in a Python based stack
• Guide the team in making technical trade-offs
• Proactively identify bottlenecks, areas for improvement and put forth a plan to course-correct
• Design and implement maintainable backend services, including data processing pipelines, APIs and internal tools
• Coordinating with internal teams to understand user requirements and provide technical solutions

• Writing efficient, reusable, testable, and scalable code
• Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
• Integration of user-oriented elements into different applications, data storage solutions
• Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
• Designing and implementing – High availability and low latency applications, data protection and security features
• Performance tuning and automation of application
• Working with Python libraries like Pandas, NumPy, etc.
• Creating predictive models for AI and ML-based features
• Keeping abreast with the latest technology and trends
• Fine-tune and develop AI/ML-based algorithms based on results

Good proficiency in,

• Python frameworks like Django, etc.
• Web frameworks and RESTful APIs
• Core Python fundamentals and programming
• Code packaging, release, and deployment
• Database knowledge
• Circles, conditional and control statements
• Object-relational mapping
• Code versioning tools like Git, Bitbucket

Fundamental understanding of,

• Front-end technologies like JS, CSS3 and HTML5
• AI, ML, Deep Learning, Version Control, Neural networking
• Data visualization, statistics, data analytics
• Design principles that are executable for a scalable app
• Creating predictive models
• Libraries like Tensorflow, Scikit-learn, etc
• Multi-process architecture
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system