Position Overview:
As a Senior Software Engineer, you will play a key role in developing new features and maintaining our enterprise Master Data Management and Customer Data Platform (CDP). As a key member of our Customer Technology engineering team, you will play a crucial role in designing and building scalable solutions that centralize, analyze, and utilize customer data which drive highly reliable backend infrastructure and enhance customer user experience.
Shyftlabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Job Responsibilities:
- Work with architects and businesses 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.
Basic Qualifications:
- Bachelor’s degree in computer science, engineering, related technical field or equivalent experience.
- Expertise with Python3 specifically with Django.
- Proficiency working in one or more cloud environments (AWS, GCP).
- Proficiency with GraphQL.
- 6+ years of experience in software designing and implementation with at least 2 years of focus on developing in-house MDM or BigData systems for 50M+ entities.
- Proven success in implementing event-driven architectures using Kafka for inter-service data integration.
- 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 Qualifications:
- Data Privacy & Compliance: Familiarity with data privacy laws and regulations such as GDPR, CCPA, and industry best practices for handling sensitive customer data.
- Serverless/Kubernetes/Containerization: Experience developing microservices using containerization in Kubernetes is a plus.
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
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What We Do
We provide customized data and analytics consulting services, including automation and software development for a sustainable and intuitive digital transformation.