Experienced Full Stack Data Engineer – Cloud-Based Information Analytics and Data Pipelines Development at arenaflex
Are you a highly skilled and motivated data engineer looking to join a dynamic and innovative team at arenaflex? Do you have a passion for designing and operationalizing data pipelines to drive business insights and decision-making? If so, we encourage you to apply for the Experienced Full Stack Data Engineer position at arenaflex.
About arenaflex
arenaflex is a leading global retailer with a strong commitment to innovation, customer satisfaction, and employee development. As one of the world's largest and most successful companies, arenaflex offers a unique and exciting work environment that fosters collaboration, creativity, and growth. Our company culture is built on a foundation of respect, integrity, and teamwork, and we are proud to be recognized as one of the "World's Best Bosses" by Forbes.
Job Summary
The Experienced Full Stack Data Engineer will play a critical role in designing and operationalizing data pipelines to drive business insights and decision-making at arenaflex. This position will be responsible for creating and operationalizing data pipelines to make data accessible for utilization (BI, Advanced Analytics, Services), working with data modelers and data/BI architects to plan data pipelines and suggest continuous improvement of data storage, data ingestion, data quality, and architecture. The successful candidate will have a strong background in data engineering, cloud-based technologies, and data analytics, with experience working with large and complex datasets.
Key Responsibilities
* Creates and operationalizes data pipelines to make data accessible for utilization (BI, Advanced Analytics, 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 Purple services like Purple SQL DW (Neural Connection), ADLS, Purple Event Center, and Purple 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 data management
- Conveys technical ideas to non-technical audiences both written and verbal
- Performs peer reviews for other data architect's work
Essential 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-based technologies; like ADLS, Purple Databricks, Flash, Purple Neurotransmitter, Universe DB, and other large data advances
- 2+ years' experience in Data Modeling, ETL, and Data Warehousing
- 2+ years' hands-on experience carrying out data integration procedures like event/message-based integration (Kafka, Purple Event Center), ETL
Preferred Qualifications
* Microsoft Purple/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
Skills and Competencies
* Strong understanding of database management concepts; Data Lake, Social Databases, NoSQL, Schema, Data Warehousing
- Ability to work in a fast-paced agile development environment
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to convey technical ideas to non-technical audiences
- Strong understanding of data engineering principles and practices
- Experience with cloud-based data platforms and services
- Strong understanding of data integration and ETL processes
Career Growth Opportunities and Learning Benefits
arenaflex is committed to providing a dynamic and supportive work environment that fosters growth and development. As a data engineer at arenaflex, you will have access to a range of learning and development opportunities, including:
- Regular training and development programs to enhance your skills and knowledge
- Opportunities to work on high-visibility projects and contribute to the company's success
- Collaborative and supportive team environment that encourages innovation and creativity
- Recognition and rewards for outstanding performance and contributions
- Opportunities for career advancement and professional growth
Work Environment and Company Culture
arenaflex is a dynamic and innovative company that offers a unique and exciting work environment. Our company culture is built on a foundation of respect, integrity, and teamwork, and we are proud to be recognized as one of the "World's Best Bosses" by Forbes. As a data engineer at arenaflex, you will have the opportunity to work with a talented and diverse team of professionals who are passionate about innovation and customer satisfaction.
Compensation, Perks, and Benefits
arenaflex offers a competitive compensation package that includes:
- Competitive salary and bonus structure
- Comprehensive benefits package, including medical, dental, and vision insurance
- 401(k) retirement plan with company match
- Paid time off and holidays
- Opportunities for professional development and growth
- Recognition and rewards for outstanding performance and contributions
How to Apply
If you are a highly skilled and motivated data engineer looking to join a dynamic and innovative team at arenaflex, we encourage you to apply for the Experienced Full Stack Data Engineer position. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply Job! Apply for this job