Conduct analysis, design, and programming tasks while providing system support tailored to project requirements.
Innovate and improve development processes, explore new technologies, and provide viable solutions for enhancement.
Collaboratively review and refine test plans and address product defects to ensure optimal functionality of developed components.
Participate in the seamless implementation of products or developed components to meet project specifications.
Communicate effectively with clients through meetings, emails, and video calls to provide updates and address inquiries concerning system development.
Assess and evaluate client-requested changes not initially considered, estimating the required time, cost, and potential impact on the work plan.
Report any deviations and issues arising during development that might impact the company, client, or team, and propose remedial actions.
Engage in peer reviews to assess code quality, receiving and implementing feedback for improvement.
Preferred candidate profile
Key Skills:
Should be able to code proficiently in Python and understand coding best practices.
Capable of designing and implementing data structures and building reusable libraries.
Should be able to deploy serverless functions and develop basic RESTful APIs.
Able to write SQL queries and understand SQL code.
Should be familiar with using Git for version control.
Knowledgeable in Agile/Scrum/Kanban methodologies.
DevOps Skills:
Should understand CI/CD practices and Infrastructure as Code.
Familiar with AWS core services like EC2, S3, IAM, VPC, and RDS.
Able to use AWS Lambda for serverless computing.
Containerization:
Should be able to write Dockerfiles, follow best practices, and manage private repositories.
Familiaritywith k8s or AWS Container Services: ECS, Fargate, etc...
Additional Skills:
Should be comfortable with sysadmin tasks on Linux systems, including system upgrades and patching.
Basic understanding of networking concepts.
Should be able to work independently, prioritize tasks, and communicate complex technical concepts clearly.
Support-oriented with a focus on problem-solving and troubleshooting.
Nice-to-Haves:
Familiarity with tools and technologies such as Airflow, Spark, and data engineering techniques.
Experience in building ETLs or data pipelines
Experience in AWS Data Engineering Technologies: Glue, Managed Airflow,
Understanding of architectural patterns like data mesh, microservices, and big data.
Knowledge of identity infrastructure and directory services.
Experience with Tableau or other dashboarding technologies.
You should be speaking to us if;
You are looking for a career that challenges you to bring your knowledge and expertise to bear for designing implementing and running a world class IT organization
You like a job that brings a great deal of autonomy and decision-making latitude
You like working in an environment that is young, innovative and well established
You like to work in an organization that takes decisions quickly, is non-hierarchical and where you can make an impact
