Experienced Full Stack Data Engineer – Cloud-Based Information Analytics and Pipeline Development at arenaflex
Join the arenaflex Team and Revolutionize the Future of Retail with Innovative Data Solutions Are you a highly skilled and motivated data engineer looking to take your career to the next level? Do you have a passion for designing and operationalizing complex data pipelines to drive business growth and innovation? Look no further than arenaflex, the world's largest membership-based warehouse club with a reputation for excellence and a commitment to empowering its employees to succeed.
About arenaflex
arenaflex is a global leader in the retail industry, with a presence in 14 countries and a reputation for providing a family-friendly work environment that fosters growth and success. As a testament to our commitment to our employees, arenaflex has been ranked seventh in Forbes's "World's Best Bosses" list. Our IT department is responsible for the strategic development of arenaflex's technology infrastructure, and we are seeking a highly skilled data engineer to join our team.
Job Summary
We are seeking an experienced full stack data engineer to join our team and contribute to the development of innovative data solutions that drive business growth and innovation. As a data engineer at arenaflex, you will be responsible for designing and operationalizing complex data pipelines to drive analysis and information services. You will work closely with product owners, design, and data stage teams to configure, build, test, and automate data pipelines that are relied upon across the organization as the single source of truth.
Key Responsibilities
* Creates and operationalizes data pipelines to make data accessible for use (BI, Advanced Analysis, Services)
- Works with data modelers and data/BI architects to plan data pipelines and suggests continuous improvement of data storage, data ingestion, data quality, and architecture
- Plans, creates, and carries out ETL/ELT processes using IICS (Informatica Cloud)
- 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
- Carries out large data and NoSQL solutions by creating adaptable data handling 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 the data management
- Conveys technical ideas 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 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 Synapse, Azure Cosmos DB, and other big data advances
- 2+ years' involvement in Data Modeling, ETL, and Data Warehousing
- 2+ years' hands-on experience carrying out data integration procedures like event/message-based integration (Kafka, Azure Event Hub), ETL
- Solid understanding of database storage concepts; Data Lake, Social Databases, NoSQL, Schema, Data Warehousing
- Ability to work in a fast-paced agile development environment
Preferred Qualifications
* Microsoft Azure/Comparable certifications
- Experience conveying data solutions through deft programming development approaches
- Openness to the retail business
- Amazing verbal and written communication skills
- Experience working with SAP 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
- Comprehensive training and support
- Access to cutting-edge technology and tools
- Flexible work arrangements and work-life balance
How to Apply
If you are a motivated and experienced data engineer looking to join a dynamic and innovative team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
Equal Employment Opportunity
arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive and respectful of all employees, and we strive to provide equal opportunities for all candidates, regardless of their background, race, color, religion, sex, national origin, age, disability, or genetic information.
Work Environment and Company Culture
arenaflex is a global leader in the retail industry, with a reputation for providing a family-friendly work environment that fosters growth and success. Our company culture is built on a foundation of respect, trust, and open communication, and we strive to create a workplace that is inclusive and supportive of all employees. We offer a comprehensive benefits package, including health insurance, retirement plans, and paid time off, as well as opportunities for career growth and professional development.
Compensation, Perks, and Benefits
arenaflex offers a competitive salary and benefits package, including:
- Competitive salary and bonuses
- Comprehensive health insurance
- Retirement plans, including 401(k) and pension plans
- Paid time off, including vacation, sick leave, and holidays
- Flexible work arrangements and work-life balance
- Access to cutting-edge technology and tools
- Opportunities for career growth and professional development
- Recognition and rewards for outstanding performance
Disclaimer
arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive and respectful of all employees, and we strive to provide equal opportunities for all candidates, regardless of their background, race, color, religion, sex, national origin, age, disability, or genetic information. Apply for this job