**Join arenaflex, a leading global retailer, as we revolutionize the world of retail with innovative technology solutions.**
At arenaflex, we're on a mission to provide our customers with the best possible shopping experience, and we're looking for talented individuals to join our team of experts in data engineering. As a Full Stack Data Engineer, you'll play a crucial role in designing and operationalizing data pipelines to drive business insights and decision-making. If you're passionate about data, technology, and innovation, we want to hear from you!
**About arenaflex**
arenaflex is a multinational retailer with a presence in 14 countries worldwide. We're known for our commitment to quality, customer satisfaction, and employee well-being. Our company culture is built on the principles of teamwork, innovation, and continuous learning. We're proud to be recognized as one of the best places to work, and we're excited to welcome talented individuals like you to our team.
**Job Summary**
As a Full Stack Data Engineer, you'll be responsible for designing, developing, and operationalizing data pipelines to support business intelligence, advanced analytics, and data services. You'll work closely with cross-functional teams, including data architects, data scientists, and business stakeholders, to ensure that our data solutions meet the needs of our business. Your expertise in data engineering, cloud technologies, and data warehousing will enable us to make data-driven decisions and drive business growth.
**Key Responsibilities**
* Design and develop data pipelines to support business intelligence, advanced analytics, and data services
* Collaborate with data architects, data scientists, and business stakeholders to ensure that data solutions meet business needs
* Develop and maintain data models, data warehouses, and data lakes to support business insights and decision-making
* Work with cloud technologies, such as ADLS, Azure Data Factory, and Databricks, to design and implement scalable data solutions
* Develop and maintain ETL/ELT processes using Informatica PowerCenter and IICS
* Collaborate with data engineers and data architects to design and implement data pipelines and suggest continuous improvements to data storage, data ingestion, data quality, and organization
* Develop and maintain data visualizations and reports to support business insights and decision-making
* Work with data scientists and business stakeholders to develop and implement data-driven solutions to business problems
* Collaborate with cross-functional teams to ensure that data solutions meet business needs and are aligned with company goals and objectives
**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 and IICS
* 3+ years of experience working with cloud technologies, such as ADLS, Azure Data Factory, and Databricks
* Broad experience working with different data sources, including SQL, Oracle database, flat files (csv, delimited), web services, and XML
* High-level SQL skills and strong understanding of data modeling and data warehousing concepts
* Strong understanding of data integration methods and tools, including ETL/ELT and data lake concepts
* Ability to work in a high-speed agile development environment
* Availability 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, including event/message-based integration (Kafka, Azure Event Hub)
* Experience with Git and Azure DevOps
* Experience conveying 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 SAP BW
* Experience with UC4 Job Scheduler
**What We Offer**
* Competitive salary and benefits package
* Opportunity to work with a leading global retailer and contribute to innovative technology solutions
* 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 passionate about data engineering and innovation, we want to hear from you! Please submit your application, including your resume and cover letter, to [arenaflex Careers](https://arenaflex.com/careers). We can't wait to welcome you to our team!
**Note:** arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and supportive work environment that values diversity, equity, and inclusion.
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