Software Engineer (Backend- Python)
NavaSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, DataIndustries
Requirements
- 5+ years experience with Python and AWS Lambda
- Expert knowledge of GraphQL, REST, ReactJS, NodeJS, MongoDB, AWS Lambda, Python
- Expert knowledge in AWS technology
- Expert in using LaMDA, Streaming services and deploying in AWS
- Experience in developing front end and backend using GraphQL (Apollo)
- Experience in developing microservice architecture
- Experience in continuous delivery
Responsibilities
- (None explicitly listed)
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What compensation and benefits does ShyftLabs offer?
ShyftLabs offers a competitive salary alongside a strong insurance package.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What skills are required for the Python Lambda Developer role?
The role requires 5+ years experience with Python and AWS Lambda, expert knowledge of GraphQL, REST, ReactJS, NodeJS, MongoDB, AWS Lambda, and Python, plus expertise in AWS technology, LaMDA, streaming services, microservice architecture, and continuous delivery.
What is the company culture like at ShyftLabs?
ShyftLabs is a fast-growing data product company founded in early 2020 that prides itself on the growth of its employees and offers extensive learning and development resources.
What experience makes a strong candidate for this position?
Candidates with 5+ years in Python and AWS Lambda, expert-level skills in GraphQL, REST, ReactJS, NodeJS, MongoDB, AWS technologies, LaMDA, streaming services, microservices, and continuous delivery will stand out.
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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