Data Platform Software Engineer
Muon SpaceSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, DataIndustries
Requirements
- Bachelor’s degree in computer science, engineering, related technical field or equivalent experience
- 4 years of expertise with Python3 specifically with Django
- Proficiency working in one or more cloud environments (AWS, GCP)
- 2+ years of experience in software design and implementation
- Proficiency in relevant technologies and tools (e.g., SQL, NoSQL databases, data integration tools)
- Excellent problem-solving skills with the ability to think critically and work independently
- Strong communication skills, with a proven ability to collaborate and build consensus effectively across different teams and organizational levels
- Ability to drive delivery of projects from concept through completion
- (Preferred) Data Privacy & Compliance: Familiarity with data privacy laws and regulations such as GDPR, CCPA, and industry best practices for handling sensitive customer data
- (Preferred) Serverless/Kubernetes/Containerization: experience developing microservices using containerization in Kubernetes
Responsibilities
- Work with the team and business to develop and extend a comprehensive Customer Master Data Management system to consolidate, cleanse, and manage customer data across various sources
- Develop, test, and deliver modular extensible software code which meets business objectives
- Collaborate with cross-functional teams, including data analytics, product management, and business stakeholders, to define requirements and create effective data-heavy backend solutions
- Work to integrate data from disparate sources, ensuring data quality and consistency throughout the MDM system
- Develop GraphQL API Access layer around customer PII, behavioral data, and propensity attributes for consumption by Marketing, Support Operations, and Personalization
- Establish and enforce data governance policies, stewardship practices, and quality standards
- Monitor and optimize system performance to ensure scalability, reliability, and security of the upstream, customer data service, and downstream systems
- Participate in on-call rotations and incident response to ensure our SLO are met
Skills
Python3
Django
GraphQL
Master Data Management
Customer Data Platform
MDM
Data Integration
Data Governance
API Development
Backend Development
Data Quality
Scalability
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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