Experienced Full Stack Data Engineer – Web & Cloud Application Development

Are you a skilled data engineer looking to join a dynamic team that's revolutionizing the retail industry? Do you have a passion for designing and operationalizing data pipelines to drive business insights and growth? Look no further than arenaflex, a leading global retailer with a commitment to innovation and excellence. As a Full Stack Data Engineer at arenaflex, you'll play a critical role in shaping the future of our data analytics capabilities. You'll work closely with cross-functional teams to design, develop, and deploy scalable data pipelines that meet the needs of our business stakeholders. With a strong focus on cloud-based technologies and big data solutions, you'll have the opportunity to work with cutting-edge tools and technologies that will help drive arenaflex's continued success.

About arenaflex

arenaflex is a global retailer with a reputation for excellence and a commitment to innovation. As one of the world's largest retailers, we're constantly pushing the boundaries of what's possible in the world of retail. With a focus on customer satisfaction, employee engagement, and operational efficiency, we're always looking for talented individuals who share our passion for excellence.

Job Summary

We're seeking an experienced Full Stack Data Engineer to join our team of data professionals. As a key member of our data engineering team, you'll be responsible for designing and operationalizing data pipelines to drive business insights and growth. You'll work closely with cross-functional teams to identify business needs, design and develop scalable data pipelines, and deploy solutions that meet the needs of our stakeholders.

Key Responsibilities

* Design and operationalize data pipelines to drive business insights and growth

• Work closely with cross-functional teams to identify business needs and develop solutions
• Develop and deploy scalable data pipelines using cloud-based technologies and big data solutions
• Collaborate with data scientists and analysts to develop data-driven insights and recommendations
• Ensure data quality, integrity, and security throughout the data pipeline
• Develop and maintain documentation for data pipelines and related systems
• Participate in code reviews and contribute to the development of best practices for data engineering
• Stay up-to-date with industry trends and emerging technologies in data engineering

Essential Qualifications

* 3+ years of experience designing and operationalizing data pipelines with large and complex datasets

• 3+ years of hands-on experience with Informatica PowerCenter
• 3+ years of experience in data modeling, ETL, and data warehousing
• 3+ years of hands-on experience with Informatica IICS
• 3+ years of experience working with cloud-based technologies, such as ADLS, Azure Data Factory, Databricks, and other big data solutions
• Broad experience working with different data sources (SQL, Oracle database, flat files (csv, delimited), Web API, XML)
• High-level SQL skills and strong understanding of data modeling concepts (data lake, social data sets, NoSQL, data warehousing)
• Ability to work in a high-speed agile development environment
• Flexibility to work on a rotational basis, including weekends, holidays, and after-hours as needed

Preferred Qualifications

* BA/BS in Computer Science, Engineering, or equivalent programming experience

• Azure certifications
• Experience executing data integration strategies, such as event/message-based integration (Kafka, Azure Event Hub)
• Experience with Git/Azure DevOps
• Experience delivering data solutions through agile software development processes
• Familiarity with the retail industry
• Excellent verbal and written communication skills
• Experience working with SAP integration tools, including Bodies
• Experience with UC4 Job Scheduler

What We Offer

* Competitive salary and benefits package

• Opportunity to work with cutting-edge technologies and tools
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Recognition and rewards for outstanding performance
• Flexible work arrangements, including remote work options

How to Apply

If you're a motivated and experienced data engineer looking to join a dynamic team, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you! Apply Now! Apply for this job