Software Data Engineer (Python AWS)

Exp: 12 yrs

Hybrid (Orlando, Fl)

Top Skills - Must Haves

Python

Typescript

Terraform

INfrastructure as code

snowflake

software development

public cloud

Top Skills' Details

Required Technical skills (Absolutely must have):
1. Software Development for Infrastructure as Code (IaC) with Python or TypeScript: Engineer will need to create and manage infrastructure components using code.2. Terraform and CloudFormation (CDKTF): Engineer will orchestrate infrastructure provisioning and management.3. Snowflake Object Creation: Engineer will write code to create and manage Snowflake objects.4. Public Cloud Integration: must be able to Deploy Snowflake on a public cloud provider (e.g., AWS, Azure, Google Cloud).
Desired (yet not required) qualifications:
AWS: Candidates must have AWS engineering experience to build environments and deploy applications in AWS Services such as: Lambdas, API Gateway, AMIs, EC2, S3, Kinesis, Event Bridge, Cloudformation, Lambdas SNS.
Data: Experience with algorithms and data structures. Has experience resolving issues with scalability, low latency or receiving real time data retrieval from multiple sources at once.
Knowing the trade-offs between different data storage systems and architectures (data warehouses, SQL vs NoSQL, partitioning, etc.)

Secondary Skills - Nice to Haves

aws services

CDK

Cloudformation

data warehouse

data management

big data

Job Description

TEKsystems is seeking for a Software/Cloud Engineer with 4 years of experience in applied Software Engineering principles, 2 year of Python Development, 2 years of AWS Engineering experience to join a Full Stack Engineering team responsible for building new Data Platforms, Architecture & Automation within the Data Products and Platforms (DPP) organization at Disney Parks, Experiences & Products (DPEP).
Responsibilities:
Design and implement reliable, high-throughput, low latency, scalable and well-documented code to tackle sophisticated algorithms and build cloud infrastructures components.
Collaborate with engineers, data scientists, and other partners to make proposals across teams on their engineering work and practices.
Design low-level implementation details of software, which data structures, class/function/code organization, etc.
Propose technical implementation approaches which support architectural changes that address scaling and performance problems.
Proactively seek opportunities to reuse or generalize existing services and implementations.
Know the latest technologies and best approaches in data management and software engineering.
Provide technical mentorship and guidance to other members of the team.
Conduct code review pull-requests with consistent scrutiny.

Additional Skills & Qualifications

Soft Skills (absolutely must have): Communication:o Excellent communication and relationship skills, especially the ability to articulate advanced technical topics to both technical and non-technical staff.o Must have ability to articulate business issues/concerns with staff, peers, superiors, and outside parties as needed. Critical Thinking:o Must be able to engage in reflective and independent thinking.o Will be required to use your own ability to reason and being an active learner rather than a passive recipient of information.o Demonstrable analytical and problem-solving skills.o Ability to contribute to, and balance delivery against, multiple projects/demands. simultaneously while prioritizing per managements guidance. Growth Mindset:o You must thrive on challenges and not see failure to describe yourself but as a springboard for growth and developing your abilities.o Demonstrates expertise in research, often going outside of their area of individual experience.o Desire and ability to adapt to an ever-changing technology landscape by exploring new languages and techniques for software delivery.o Passion for learning new things but tempering it with adding value to the company.