Experienced Full Stack Data Entry Specialist – Cloud Infrastructure & Data Analytics
At arenaflex, we're dedicated to fostering a collaborative and innovative work environment that encourages growth and development. Our team is passionate about delivering exceptional results and making a positive impact on our customers. As a key member of our team, you'll have the opportunity to work on complex projects, lead cross-functional teams, and drive process improvements. If you're a motivated and detail-oriented individual with a passion for data analysis and cloud infrastructure, we want to hear from you!
About arenaflex
arenaflex is a leading organization in the industry, committed to providing our customers with exceptional service and support. We're proud to be an Equal Opportunity Employer, dedicated to creating a diverse and inclusive work environment that reflects the communities we serve. Our team is passionate about innovation, creativity, and continuous improvement, and we're always looking for talented individuals to join our ranks.
Responsibilities
As an Experienced Full Stack Data Entry Specialist, you'll be responsible for assembling complex datasets that meet business requirements, identifying opportunities for process improvements, and building infrastructure for data extraction, transformation, and loading. You'll work closely with stakeholders to provide technical support and insights, and collaborate with cross-functional teams to drive business outcomes. Your expertise will be essential in building analytical tools to provide actionable insights into key business metrics, and you'll be responsible for generating or adapting devices and solutions to meet customer needs.
Key Responsibilities:
* Assemble large, complex datasets that meet non-functional and functional business requirements
- Identify, design, and implement internal process upgrades, including re-designing infrastructure for scalability, optimizing data delivery, and automating manual processes
- Build required infrastructure for high-quality extraction, transformation, and loading of data from various data sources using AWS and SQL technologies
- Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics, including operational performance and customer acquisition
- Work with stakeholders, including data, design, product, and government groups, to support their data infrastructure needs while addressing data-related technical issues
- Generate or adapt devices and solutions to serve customer needs
- Perform other process responsibilities as directed by Employee's Leaders
Knowledge, Skills, and Abilities
* Knowledge of the practical application of engineering science and technology, including applying concepts, techniques, procedures, and tools for the design and manufacturing of various products and services
- Knowledge of design techniques, tools, and concepts involved in the manufacturing of precision technical plans, blueprints, drawings, and models
- Ability to apply common sense and reasoning to select the strengths and weaknesses of alternative solutions, conclusions, or processes to problems
- Ability to understand the consequences of recent data for both current and future problem-solving and decision-making
- Skilled in understanding complex problems and reviewing associated data to develop and evaluate alternatives and implement solutions
- Ability to inform when something is incorrect or is likely to go wrong, without necessarily fixing the problem, just spotting there may be a problem
- Ability to combine parts of data to form general rules or conclusions (including finding a relationship between seemingly unrelated events)
- Ability to shift back and forth between or more activities or sources of data (including speech, sounds, touch, or other sources)
- Ability to establish matters or movements in a positive order or sequence according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations)
- Ability to identify or locate a recognized pattern (a figure, object, word, or sound) that is hidden in other distracting material
Education
* Bachelor's Degree in Business, Engineering, Computer Science, Information Systems, Cybersecurity, or related field; or equivalent formal training
Experience
* Required: Advanced-level experience, professional and specialized knowledge in: + Cloud infrastructure, DataLake + ETL experience ensuring supply to target data integrity + Various filetypes (Delimited Text, Fixed Width, XML, JSON, Parque) + ServiceBus, setting up ingress and egress within a subscription, or applicable AWS Cloud services administrative experience + Unit Testing, Code Quality tools, CI/CD Technologies, Security, and Container Technologies + Agile development experience and Agile ceremonies and practices
Benefits You'll Love
* Fly for free, as a privilege, on any open seat on all arenaflex flights (your eligible dependents too)
- Up to a 9.3% 401(k) Company match, dollar for dollar, of your eligible pay, per paycheck
- Potential for annual Profit Sharing contribution towards retirement – while arenaflex profits, you profit
Join Our Team
If you think this job is for you, we invite you to join our team and apply for this exciting opportunity. At arenaflex, we're committed to providing a supportive and inclusive work environment that encourages growth and development. We can't wait to hear from you!
Simple Application Process
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