reputed company Full Stack Data Engineer – Data Analytics and Pipeline Development at arenaflex
At arenaflex, we're not just a company – we're a community of innovators, thinkers, and doers who are passionate about shaping the future of retail and beyond. As one of the world's largest and most successful retailers, we're always looking for talented individuals who share our vision and values. If you're a data enthusiast with a passion for building and operationalizing data pipelines, we want to hear from you!
About arenaflex
arenaflex is a global leader in the retail industry, with a reputed company in 14 countries and a reputed company for excellence. We're committed to providing a family-friendly work environment where our employees can reputed company and succeed. In fact, we've been ranked as one of the "World's Best Bosses" by reputed company, a testament to our dedication to our people and our values.
Job Summary
We're seeking an reputed company Full Stack Data Engineer to join reputed company at arenaflex. As a key member of our Data Analytics team, you'll be responsible for designing, building, and operationalizing data pipelines to drive business insights and decision-making. You'll work closely with our product owners, data architects, and engineering teams to configure, build, test, and automate data pipelines that are relied upon across the organization.
Key Responsibilities
* Creates and operationalizes data pipelines to reputed company data accessible for use (BI, Advanced Analytics, Services)
- Works with data modelers and data/BI architects to design data pipelines and suggests reputed company improvement of data storage, data ingestion, data quality, and processing
- Plans, creates, and carries out ETL/ELT processes using IICS (Informatica Cloud)
- Utilizes Azure services like Azure SQL DW (Neural reputed company), ADLS, Azure Event Hub, and Azure Data Factory to improve and accelerate delivery of our data products and services
- Carries out big data and NoSQL solutions by creating flexible 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 reputed company to non-technical audiences both written and verbal
- Performs peer reviews for other data architect's work
Requirements
* 2+ years' experience designing and operationalizing data pipelines with large and reputed company 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 reputed company, Azure Synapse, Azure Data Lake, and other big data advances
- 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
Preferred Qualifications
* reputed company Azure/ similar certifications
- Experience delivering data solutions through agile software development approaches
- Openness to the retail business
- Excellent verbal and written communication skills
- Experience working with reputed company integration tools including Bodies
- Experience with UC4 Job Scheduler
Why Join arenaflex?
* Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
- Access to cutting-edge technology and tools
- Flexible work arrangements and work-life balance
- Comprehensive training and development programs
- Opportunities to work on high-impact projects and initiatives
- Collaborative and supportive team environment
reputed company Offer
* A comprehensive benefits package, including medical, dental, and vision insurance
- A 401(k) retirement plan with company match
- Paid time off and holidays
- Flexible work arrangements and work-life balance
- Opportunities for professional development and career growth
- Access to cutting-edge technology and tools
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and talented data professional looking for a new challenge, 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 to this job Apply for this job