Python Distributed System Engineer

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

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! https://www.happyfox.com/

We’re looking for a Senior Backend Engineer to join our engineering team to help build and maintain our growing list of products. You should have prior experience being responsible for building sufficiently complex features by yourself.

Responsibilities: 

• Implement product features by writing clean, robust, reusable code with tests
• Conduct peer reviews to keep the codebase a great environment to work on
• Collaborate with Product Managers, Designers and Engineers to deliver high-quality features
• Bring new ideas and best practices to improve the team and the codebase

Requirements:

• 5+ years of professional work experience
• Proficiency in backend programming languages like Python
• Experience working with web application frameworks like Django
• Experience in building web services using relational databases like PostgreSQL or NoSQL databases like MongoDB
• Proficiency in writing highly performant and scalable code
• Experience in building REST APIs and a good understanding of best practices around building APIs
• Good communication skills with an ability to articulate your views
• Excellent analytical and problem-solving skills

Rules & Responsibilities:

Technical Skills:

1. .Net– Net, C#, .Net core, MVC, Framework, Web API, Web Services, Micro Service and SQL
2. Azure – Azure Cloud, SaaS, PaaS, IaaS, Azure Relational, and No-SQL Database, Big Data Services

Responsibilities

• Good understanding of and experience in working on Microsoft Azure (IAAS/PAAS/SAAS)
• Ability to architect, design, and implement cloud-based solutions
• Proven track record of designing and implement the IoT-based solutions/Big Data solutions/applications to the Azure cloud platform.
• Experience in building .Net-based enterprise distributed solutions in Windows and Linux.
• Experience in using CI and CD tools. Jenkins/ Azure pipeline and Terraform. Experience in using another tooling such as Ansible, CloudFormation, etc.
• Good understanding of HA/DR Setups in Cloud
• Experience and working knowledge of Virtualization, Networking, Data Center, and Security
• Deep hands-on experience in the design, development, and deployment of business software at scale.
• Strong hands-on experience in Azure Cloud Platform
• Experience in Kubernetes, Docker, and other cloud deployment, container technologies
• Experience / knowledge of other cloud offerings (e.g. AWS, GCP) will be added advantage
• Experience with monitoring tools like Prometheus, Grafana, Datadog, etc.

Candidates should have worked with Startups (IT Product Firms)

Should be from B2C Firms/Product/SaaS Firms

Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms

Your Experience Across The Years in the Roles You’ve Played

• 6+ years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

You’ll Be Improving & Responsible For

• Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Engineering management with a strong sense of ownership
• Problem solving with a clear and analytical approach and organized work habits
• Technological innovation in agile product engineering scenarios
• Product and business management principles and metrics