Experienced Full Stack Data Engineer – Cloud and Analytics Pipeline 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 on our team, you'll play a critical role in designing and operationalizing data pipelines that drive business insights and inform strategic decisions. If you're passionate about working with large datasets, cloud technologies, and collaborative teams, we want to hear from you!
About arenaflex
arenaflex is a global retail leader with a presence in 14 countries. We're committed to creating a family-friendly work environment where our employees can thrive and grow. As a testament to our success, we've been ranked seventh in Forbes's "World's Best Bosses" list. Our culture is built on a foundation of trust, respect, and open communication, and we're dedicated to fostering a workplace that's inclusive, diverse, and supportive.
Job Summary
We're seeking an experienced Full Stack Data Engineer to join our team and help us drive business growth through data-driven insights. As a Data Engineer, you'll be responsible for designing, building, and operationalizing data pipelines that integrate with various data sources, including cloud-based services. You'll work closely with cross-functional teams to ensure seamless data flow and high-quality data delivery.
Key Responsibilities
* Design and operationalize data pipelines to make data accessible for business intelligence, advanced analytics, and services
- Collaborate with data modelers and data/BI architects to plan data pipelines and suggest continuous improvements to data storage, ingestion, quality, and processing
- Plan, create, and execute ETL/ELT processes using Informatica Cloud (IICS)
- Utilize Azure services like Azure SQL DW (Neural connection), ADLS, Azure Event Hub, and Azure Data Factory to improve and accelerate data delivery
- Develop large data and NoSQL solutions by creating adaptable data handling stages to drive high-value insights to the organization
- Identify, plan, and execute internal process improvements: automating manual processes, and enhancing data delivery
- Identify ways to improve data reliability, efficiency, and quality of data management
- Communicate technical ideas to non-technical audiences both written and verbally
- Perform peer reviews for other data architects' work
Requirements
* 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 Synapse, Azure Data Lake, and other big data advancements
- 2+ years of experience in Data Modeling, ETL, and Data Warehousing
- 2+ years of hands-on experience implementing data integration procedures like event/message-based integration (Kafka, Azure Event Hub), ETL
Preferred Qualifications
* Microsoft Azure/ similar 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 onboarding program
- Access to cutting-edge technologies and tools
- Flexible work arrangements and remote work options
- Recognition and rewards for outstanding performance
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 and explore how you can contribute to our success. Apply Now! Apply for this job