Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at arenaflex

At arenaflex, we're on a mission to revolutionize the retail industry with our cutting-edge technology and innovative approach. As one of the world's largest retailers, we're committed to providing an exceptional shopping experience for our members while fostering a positive and inclusive work environment for our employees. We're proud to be ranked seventh in Forbes's "World's Best Bosses" and are dedicated to making arenaflex a place where our employees can thrive and grow.

Job Summary:

We're seeking an experienced Full Stack Data Engineer to join our team at arenaflex. As a key member of our Data Engineering team, you'll be responsible for designing and operationalizing data pipelines to drive analysis and data services across the organization. You'll work closely with product owners, engineering, 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 design data pipelines and suggests continuous improvement of data storage, data ingestion, data quality, and processing
• Plans, creates, and executes 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 handling stages to drive high-value insights to the organization
• Identifies, plans, and executes 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

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 Data Lake, 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

Solid understanding of database storage concepts; Data Lake, Social Data Sets, NoSQL, Schema, Data Warehousing * Ability to work in a fast-paced agile development environment

• Preferred 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

About arenaflex:

arenaflex is a global leader in the retail industry, with a strong commitment to innovation, customer satisfaction, and employee development. We're proud to be a part of the community and strive to make a positive impact through our business practices and social responsibility initiatives.

Work Environment and Company Culture:

At arenaflex, we believe in creating a positive and inclusive work environment that fosters collaboration, creativity, and growth. Our employees are our greatest asset, and we're committed to providing a safe, secure, and supportive workplace that encourages open communication, diversity, and innovation.

Compensation, Perks, and Benefits:

arenaflex offers a competitive compensation package, including a salary range of $22/hour, as well as a range of benefits and perks, including:

• Comprehensive health insurance
• 401(k) matching program
• Paid time off and holidays
• Professional development opportunities
• Access to cutting-edge technology and tools
• Collaborative and dynamic work environment

How to Apply:

If you're a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you!

Apply Now:

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