Experienced Full Stack Data Entry Specialist – Retail Information Science and Data Management

Are you an innovative and detail-oriented professional with a passion for data management and analysis? Do you thrive in a dynamic environment where no two days are the same? Look no further! arenaflex, a leading retail brand, is seeking an experienced Full Stack Data Entry Specialist to join our team of talented professionals. As a key member of our Information Designing group, you will play a vital role in ensuring the accuracy and efficiency of our data management processes from the comfort of your own home.

About arenaflex

arenaflex is a global retail leader that is revolutionizing the way people shop and live. With a commitment to innovation and customer satisfaction, we are constantly seeking new and better ways to serve our customers. Our Information Designing group is at the forefront of this effort, using cutting-edge data management and analysis techniques to drive business decisions and improve customer experiences.

What You'll Do

As a Full Stack Data Entry Specialist, you will be responsible for designing, developing, and maintaining information models that support our business operations. Your key responsibilities will include:

• Collaborating with the Application Development team to implement data systems, build data pipelines, and develop data models that meet business requirements
• Creating coherent and accurate data models using best practices to ensure high data quality and support application, group, and intelligent use cases
• Developing, enhancing, and updating data models to support new and existing projects according to organizational guidelines
• Creating data modeling solutions optimized for social, layered, and NoSQL databases
• Maintaining applied, coherent, and accurate data models alongside corresponding metadata
• Developing accepted procedures for standard naming conventions and coding practices to ensure consistency of data models
• Suggesting opportunities for reuse of data models in new contexts
• Performing reverse engineering of actual data models from databases and SQL scripts
• Assessing data models and actual databases for changes and errors
• Approving business data objects for accuracy and completeness
• Examining data-related system integration challenges and proposing suitable solutions
• Guiding Framework Investigators, Architects, Software Engineers, and others on project boundaries and capabilities, execution requirements, and interfaces
• Surveying adjustments to existing software to improve productivity and performance
• Examining new application design and suggesting remedies when required

What You'll Bring

To be successful in this role, you will need to bring the following skills and qualifications:

• A strong academic record and degree in Computer Science or related field
• At least 10+ years of hands-on experience in data warehousing
• Solid knowledge of various data modeling techniques for data warehousing, including 3NF, Layered, and hybrid approaches
• Experience working with large-scale (100 TB+) data warehouses (DW) and operational data stores (ODS)
• Critical involvement in building data models for MPP, Social, and NoSQL innovations, such as BigData, Hive, SQL*Server, Hadoop, Cassandra, Cloud DBs like Large Query or Snowflake
• Excellent experience working with globally distributed teams in a collaborative and productive way
• Strong relational and communication skills across a variety of stakeholders, ability to negotiate and influence others

About arenaflex Worldwide Tech

Imagine working in a culture where one line of code can make life easier for millions of people. That's what we do at arenaflex Worldwide Tech. We're a team of programmers, data scientists, network security experts, and operations professionals within the world's leading retailer who have a great impact and are at the forefront of the next retail disruption. People are the reason we innovate, and people power our developments. We train our team in the areas of skills for the future and acquire experts like you to help us grow. We play parts for those pursuing their first open door as well as those searching for the open door that will define their career. Here, you can launch an extraordinary career in tech, gain new skills and experience for almost every industry, or leverage your expertise to grow at scale, influence millions, and rethink the future of retail.

Adaptable, Hybrid Work

We use a hybrid approach to working that is essentially in-office combined with virtual when not on-site. Our grounds serve as a hub to enhance collaboration, unite us for purpose, and fulfill business needs. This approach helps us make faster decisions, eliminate geographical barriers across our global team, and be more adaptable in our own lives.

Benefits

Beyond our excellent compensation package, you can receive motivation grants for your performance. Other great benefits include 401(k) match, stock buy plan, paid maternity and parental leave, PTO, various health plans, and much more.

Equivalent Opportunity Employer

arenaflex, Inc. is an Equivalent Opportunity Employer - By Decision. We believe we are best suited to help our partners, clients, and the communities we serve live better when we truly know them. That means getting it, respecting, and valuing diversity unique styles, experiences, personalities, abilities, thoughts, and assessments while being inclusive, in all respects.

How to Apply

If you are a motivated and detail-oriented professional with a passion for data management and analysis, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume, cover letter, and any other required documents, through our online portal. Apply Job!

Required Documents

* Qualifications certificate with mark sheets

• Passport size Photographs
• Signature

Note

The above information has been intended to show the overall nature and level of work performed in the job. It is not intended to contain or be interpreted as a comprehensive list of all responsibilities and capabilities expected of employees assigned to this role. The full Job Description can be made available as part of the recruitment process. Apply for this job