Backend Developer - SE/SSE/Staff/Tech lead

Skills

• Strong analytical thinking and problem-solving abilities.
• Solid understanding of system design, data structures, and algorithms.
• Proven experience in designing and implementing scalable architectures and robust design patterns.
• Ability to deliver end-to-end features and enhancements with minimal supervision.
• Proficient in debugging and resolving complex production issues and identifying root causes quickly.
• Ability to quickly learn and integrate new systems into existing platforms.

Programming Languages

• Strong expertise in Java or Python.

Database Skills

• Proficiency in SQL, with hands-on experience in PostgreSQL and MySQL.

Experience with NoSQL technologies, including MongoDB and Redis.

Responsibilities:

• Help define and create Backend architecture and deployment using Python- Django-AWS in an agile environment with lots of ownership and active mentoring

• Work with the Product and Design teams to build new features to solve business problems and fill business needs

• Participate in code reviews to create robust and maintainable code

• Work in an agile environment where quick iterations and good feedback are a way of life

• Interact with other stakeholders for requirement, design discussions and for adoption of new features • Communicate and coordinate with our support and professional services teams to solve customer issues

• Help scale our platform as we expand our product across various markets and verticals globally

As a young, fresh startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise.

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

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies.

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. For more details visit

www.monarchtractor.com

Monarch Tractor Electric Tractor

Monarch Tractor is the maker of the world’s first fully electric, driver-optional tractor making sustainable farming economically superior.

www.monarchtractor.com

Requirements and skills:

· 3+ Years of software development experience

· Strong in data structures and algorithms

· Solid understanding of Linux development environment and systems

· Expert level knowledge of Python along with frameworks some application framework

· Prior experience with WebRTC and video streaming protocols like RTMP, RTP and payloads

· Prior experience of h264, h265, vp8, vp9 and av1 encoders and decoders

· Prior experience with GStreamer pipelines

· Knowledge of C++ and proxy servers such as NGNIX is an added advantage

· Proficient in writing unit test cases using the Pytest framework.

· Expert level knowledge of SQL databases like MySQL

· Understanding of microservices architecture

· Knowledge of AWS cloud services like EC2, S3, Lambda etc.

• Bachelor’s degree in computer science, computer engineering, or related field.
• Experience working with ruby on rails as well as libraries like Resque and RSpec.
• Ability to write clean ruby code.