As a Data Specialist, you will support the design and development of scalable backend data solutions, bridging modern data engineering with business analytics needs. The role focuses on building robust ETL pipelines, backend data workflows, and data models using Python and related technologies, while also supporting analytics and exploratory initiatives.
You will work with structured and unstructured data sources, optimize data processing, and contribute to research, experimentation, and emerging AI/ML-driven use cases that improve operational performance and decision-making.
1. Support Data Engineering
Assist in the end-to-end design, development, and scheduling of scalable ETL / ELT pipelines and backend data workflows using Python and related technologies.
2. Backend Development
Build and maintain backend data processing logic, APIs, automation scripts, and integration workflows to support data movement and transformation.
3. Analyze Needs
Collaborate with business and technical stakeholders to understand data requirements, assess current reporting/data workflows, and propose improved technical solutions.
4. Build Foundational Data
Create datasets, attributes, metrics, and backend data models by writing optimized SQL queries, transformation logic, and validation routines.
5. Optimize Data Access
Help organize and optimize data sources, database structures, and data extraction mechanisms to improve efficiency, reliability, and scalability.
6. Problem Solving & Troubleshooting
Act as a technical resource for troubleshooting backend data issues, ETL failures, data inconsistencies, and performance bottlenecks.
7. Research & Innovation
Participate in research, experimentation, and prototyping around modern data technologies, automation, and emerging engineering practices.
8. AI / ML Support
Support AI / Machine Learning experimentation, proof-of-concepts, or data preparation tasks where required.
9. BI & Reporting Support
Collaborate with reporting teams to provide clean, structured datasets for dashboards, analytics, and business reporting.
Programming Languages
Data Engineering / ETL
Databases
Data Warehousing & Modeling
Cloud Platforms
AI / ML Exposure
Reporting / Analytics
Other Technologies
At Knoativ (pronounced “noh-AY-tiv”), we don’t just help retail brands keep up with the competition, we ensure they lead.
Retail isn’t what it used to be, and neither are we. The rules of the game have changed: customers expect more, competitors move faster, and outdated systems hold businesses back.
We empower retail brands through:
Valus Loyalty: Strengthen customer loyalty by transforming interactions into personalized connections that keep customers returning.
LyraCX Commerce: Effortlessly scale digital commerce operations, turning online visits into seamless purchases.
Track & Trace: Protect brand reputation by eliminating counterfeits, ensuring transparency, and reinforcing trust at every step.
InsightsRep: Enable smarter, faster decision-making through clear, real-time insights that drive measurable growth.
Knoativ is more than technology; we’re your strategic partner committed to delivering measurable outcomes. Our Digital Optimization Readiness and Ai Excellence strategies help retail brands identify key areas of focus, enabling them to scale quickly, clearly, and confidently.
Together, let’s define what’s possible in retail.
