**Experienced Full Stack Data Engineer – Cloud-Based Data Analytics and Information Services**

Are you a highly skilled and motivated data engineer looking for a challenging and rewarding role in a dynamic and innovative company? Do you have a passion for designing and operationalizing data pipelines to drive business insights and decision-making? Look no further than arenaflex, a leading global retailer with a commitment to excellence and a reputation for being one of the best companies to work for.

As a Data Specialist - Information Analytics at arenaflex, you will play a critical role in shaping the future of our company's data strategy and driving business growth through data-driven insights. You will be responsible for creating and operationalizing data pipelines to make data accessible for business intelligence, advanced analytics, and services. You will work closely with product owners, data modeling, and data/BI architecture teams to design, build, test, and automate data pipelines that are relied upon across the organization as the single source of truth.

• *About arenaflex**

arenaflex is a global retailer with a presence in 14 countries and a reputation for being one of the best companies to work for. We are committed to providing a family-friendly work environment where our employees can thrive and succeed. Our company culture is built on a foundation of trust, respect, and open communication, and we are proud to have been recognized as one of the world's best bosses by Forbes.

• *Job Responsibilities**

As a Data Specialist - Information Analytics at arenaflex, your key responsibilities will include:

• Creating and operationalizing data pipelines to make data accessible for business intelligence, advanced analytics, and services
• Working with data modelers and data/BI architects to design data pipelines and suggest continuous improvement of data storage, data ingestion, data quality, and processing
• Planning, creating, and carrying out ETL/ELT processes using Informatica Cloud (IICS)
• Utilizing Azure services like Azure SQL DW (Neural connection), ADLS, Azure Event Hub, and Azure Data Factory to improve and accelerate delivery of our data products and services
• Carrying out large data and NoSQL solutions by creating adaptable data handling stages to drive high-value insights to the organization
• Identifying, planning, and carrying out internal process improvements: automating manual processes, and enhancing data delivery
• Identifying ways to improve data reliability, efficiency, and quality of the data management
• Conveying technical ideas to non-technical audiences both written and verbal
• Performing peer reviews for other data architect's work

• *Requirements**

To be successful in this role, you will need to have:

• 2+ years of experience designing and operationalizing data pipelines with large and complex datasets
• 2+ years of hands-on experience with Informatica PowerCenter
• 2+ years of hands-on experience with Informatica IICS
• 2+ years of experience working with Cloud technologies; like ADLS, Azure Databricks, Azure, Azure Neurotransmitter, Universe DB, and other big data technologies
• 2+ years of experience in Data Modeling, ETL, and Data Warehousing
• 2+ years of hands-on experience carrying out data integration procedures like event/message-based integration (Kafka, Azure Event Hub), ETL
• Strong understanding of database storage concepts; Data Lake, Social Databases, NoSQL, Schema, Data Warehousing
• Ability to work in a fast-paced agile development environment
• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills

• *Preferred Qualifications**

• Microsoft Azure/ similar certifications
• Experience delivering data solutions through agile software development approaches
• Familiarity with the retail industry
• Experience working with SAP integration tools including Bodies
• Experience with UC4 Job Scheduler

• *What We Offer**

As a Data Specialist - Information Analytics at arenaflex, you will have the opportunity to work with a talented team of professionals who are passionate about data and analytics. You will have access to cutting-edge technologies and tools, and you will be encouraged to learn and grow with our company. We offer a competitive salary and benefits package, as well as opportunities for career growth and professional development.

• *How to Apply**

If you are a motivated and experienced data engineer looking for a challenging and rewarding role in a dynamic and innovative company, please apply to this position. We look forward to hearing from you!

• *Disclaimer**

While the specific rules and responsibilities of companies in the United States can vary depending on factors such as industry, size, and location, there are some common rules and responsibilities that many companies adhere to. These include:

• Compliance with labor laws: Companies in the United States are required to comply with various labor laws, such as the Fair Labor Standards Act (FLSA), which establishes minimum wage, overtime pay, and child labor standards. They must also adhere to laws related to workplace safety and health, including the Occupational Safety and Health Act (OSHA).
• Equal employment opportunity: Companies are expected to provide equal employment opportunities to all individuals, regardless of their race, color, religion, sex, national origin, age, disability, or genetic information. This includes complying with laws such as Title VII of the Civil Rights Act of 1964 and the Americans with Disabilities Act (ADA).
• Payroll and tax obligations: Companies are responsible for properly handling payroll, including calculating and withholding taxes from employees' wages, and submitting the required tax payments to federal, state, and local tax authorities. They must also provide employees with necessary tax forms, such as W-2s.
• Workplace safety and security: Companies must provide a safe and secure work environment for their employees. This includes implementing safety protocols, providing necessary safety training, maintaining equipment and facilities, and addressing potential hazards.
• Non-discrimination and harassment policies: Many companies have policies in place to prevent discrimination and harassment in the workplace. These policies often include procedures for reporting and addressing complaints, as well as consequences for violators.
• Privacy and data protection: Companies are expected to handle the personal and sensitive information of their employees and customers responsibly. This may involve implementing measures to protect data privacy, complying with applicable data protection laws, and informing individuals about the collection, use, and storage of their personal information.
• Ethical conduct and corporate social responsibility: Companies are encouraged to conduct their business ethically and responsibly. This may include promoting fair trade practices, adhering to environmental regulations, supporting social causes, and practicing transparency in their operations.

Please note that these are general guidelines and may not be applicable to all companies or industries.