Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

Data Processing SQL (Programming Language) Application Programming Interface (API) Python (Programming Language) Distributed Computing Computer Programming Process Management Machine Learning Web Services Cryptographic Protocols Apache HBase Apache Kafka NoSQL Elasticsearch Amazon S3 Serverless Computing Apache Hive Apache Spark

Other Skills

•
Teamwork
•
Detail Oriented
•
Communication
•
Problem Solving

Roles & Responsibilities

5+ years of industry experience, especially in building data infrastructure.
Fluency in Python and strong command of SQL.
Bachelor's or Master's degree in Computer Science.
Experience with developing and publishing APIs using web services.

Requirements:

Develop high-performance data processing systems.
Build and deploy scalable, near real-time data infrastructure supporting analytics and machine learning.
Ensure code quality through reviews and testing in a fast-paced environment.
Work on extending and delivering features for the Enrich Intelligence platform.

Job description

About Scribble Data

Scribble Data is an advanced analytics and LLM data products platform company.

Our Enrich Intelligence platform is built to help teams rapidly build trustworthy data products for highimpact advanced analytics use cases. Enrich provides a fullstack solution for data preparation and lightweight machine learning (ML) algorithm execution, coupled with a lowcode consumption interface designed for business users. With the launch of its new Hasper engine, organizations can now utilize large language models (LLMs) to bridge the gap between decision workflows and natural language, combining machine learning with a builtin rules engine.

For added security and trust, Enrich offers various secure hosting options for customers, ranging from onpremise to virtual private cloud.

We work smart, invest in tools and tech that are on the cutting edge of advanced analytics, and package all that we’ve learnt about efficiency and data mileage into our products. To know more, visit www.scribbledata.io .

About the role

We are looking for a strong software engineer with a data engineering bent of mind to work on our Enrich Intelligence platform. You will work on extending functionality for Enrich as well as delivering working systems atop Enrich for Scribble’s customers with high attentiontodetail ensuring trust, robustness, performance, and ease of use. Here are all the details you’ll need, to see if we can work together:

You will develop highperformance data processing systems.
You will develop and deploy robust, distributed, scalable, near realtime, data processing infrastructure that can support various downstream applications including reporting, analytics, user intelligence, machine learning, and decision support.
You have strong software engineering skills, systemlevel thinking, and problemsolving ability paired with the love to build and ship robust code.
You accept nothing less than topquality code and think in terms of code reviews, unit, integration, endtoend tests in a fastmoving development environment, delivering incremental value daily.
About Enrich
Enrich is a fullstack solution in Python that enables customers to build internalfacing data products with MLRS (ML at Reasonable Scale) robustly and quickly. It trades scale of data for speed of development and deployment, strong auditability, and lower skill. It is a fully Python stack with single server packaged deployment with support for containerization if required. Simplicity and minimality are major considerations in everything that we do.

Your Strengths
5+ years industry experience; plus points if any of those were spent building data infrastructure
Fluency in Python; you know the language and its quirks, not having just written scripts
Strong command of SQL
Strong understanding of computer science concepts (OOD, algorithm design, data structures, algorithms, execution, and memory optimization)
Experience developing and publishing APIs using web services
Plus points for experience implementing systems for data workflow management
BachelorsMasters in Computer Science

Nice to Have
Experience using at least some among distributed storage (e.g. S3), serverless architecture (e.g. Lambda), streaming data (e.g. Kafka), and scalable search (e.g. Elasticsearch)
Experience with big data technologies like mapreduce, NoSQL, Spark, HBase, and Hive
Experience with data security protocols and data access controls

Does this sound like you?You like adventure and have a stomach for learning and unlearning every day
You are excited by powering up a whole generation of upcoming data applications
You dream big and believe that hard problems need streamlined systems and massive amounts of data to tackle effectively
You embrace uncertainty and can develop processes and systems to handle rapidly evolving requirements
You have the discipline to take audacious goals and break down yearslong roadmaps into near term deliverables that provide value to business stakeholders
You enjoy educating your customers and team members about what it means to be dataoriented and cultivating engineering best practices
You are comfortable selling to customers (not a biggie)
You have a sense of humor

GET EXCITED. Because youre about to make a huge impact.
Scribble Data is growing rapidly. We think of this phase of hiring as extending Scribbles core team, so if you want to get in on the ground floor, now would be a good time to look our way.

WHAT WE OFFER
Primarily remote work
A work culture that helps you innovate and evolve continuously
A chance to shape the future of ML, marrying it with generative AI

Interested?
Send us your resume at hello@scribbledata.io

Know of someone else who you think should see this? Spread the word. Tell that friend who is perfect for this role.