Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at arenaflex
Join arenaflex, one of the world's best companies to work for, and take your career to new heights! At arenaflex, we're on a mission to revolutionize the retail industry with our innovative approach to data-driven decision making. As a Data Engineer at arenaflex, you'll play a critical role in designing and operationalizing data pipelines to drive business insights and inform strategic decisions. If you're passionate about working with large and complex datasets, and have a knack for building scalable and efficient data solutions, we want to hear from you!
About arenaflex
arenaflex is a global retail leader with a presence in 14 countries. Our commitment to innovation and customer satisfaction has earned us a spot on Forbes' list of the world's best bosses. We're a family-owned business with a strong focus on employee development and well-being. Our culture is built on a foundation of trust, respect, and open communication, making us a great place to work for those who share our values.
Job Summary
As a Data Engineer at arenaflex, you'll be responsible for designing, building, and operationalizing data pipelines to support business intelligence, advanced analytics, and data services. You'll work closely with cross-functional teams to configure, test, and automate data pipelines that are relied upon across the organization as the single source of truth. Your expertise in data engineering will help us drive business insights, inform strategic decisions, and stay ahead of the competition.
Key Responsibilities
* Creates and operationalizes data pipelines to make data accessible for use (BI, Advanced Analytics, Services)
- Works with data modelers and data/BI architects to design data pipelines and suggests continuous improvement of data storage, data ingestion, data quality, and processing
- Plans, creates, and carries out ETL/ELT processes using Informatica Cloud (IICS)
- Utilizes 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
- Performs large data and NoSQL solutions by creating adaptable data processing stages to drive high-value insights to the organization
- Identifies, plans, and carries out internal process improvements: automating manual processes, and enhancing data delivery
- Identifies ways to improve data reliability, efficiency, and quality of data management
- Conveys technical ideas to non-technical audiences both written and verbal
- Performs peer reviews for other data architect's work
Required Qualifications
* 2+ years' experience designing and operationalizing data pipelines with large and complex datasets
- 2+ years' hands-on experience with Informatica PowerCenter
- 2+ years' hands-on experience with Informatica IICS
- 2+ years' experience working with Cloud technologies; like ADLS, Azure Databricks, Azure, Azure Neurotransmitter, Universe DB, and other big data advancements
- 2+ years' experience in Data Modeling, ETL, and Data Warehousing
- 2+ years' hands-on experience implementing data integration procedures like event/message-based integration (Kafka, Azure Event Hub), ETL
Desirable Qualifications
* Microsoft Azure/Comparable certifications
- Experience delivering data solutions through agile software development approaches
- 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
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
- Comprehensive training and support
- Flexible work arrangements and work-life balance
- Access to cutting-edge technology and tools
- Opportunities to work on high-impact projects and contribute to the company's success
How to Apply
If you're passionate about data engineering and want to join a team that's shaping the future of retail, apply now! We can't wait to hear from you.
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