Experienced Data Engineer - Data Analytics and Pipeline Development Specialist for Innovative Retail Solutions at arenaflex

Introduction to arenaflex

arenaflex is a leading retail organization with a strong presence in the global market, operating in fourteen countries. Despite its large size and rapid global expansion, arenaflex maintains a family-oriented, employee-driven environment where its team members thrive and succeed. As a testament to its commitment to its employees, arenaflex ranks seventh in Forbes' "World's Best Employers" list. With a focus on innovation and customer satisfaction, arenaflex is dedicated to providing a unique shopping experience to its customers worldwide.

Job Overview

arenaflex is seeking an experienced Data Engineer - Data Analytics to join its team. As a Data Engineer, you will be responsible for designing and operationalizing data pipelines to make data available for consumption, including data ingestion, transformation, validation, and quality control. You will work closely with Data Architects, Data Scientists, and BI Architects to design and maintain scalable data models and pipelines. Your expertise in programming, SQL, data storage, modeling, cloud, data warehousing, and data lakes will be essential in driving business growth and informed decision-making.

Key Responsibilities

• Design and develop data pipelines to support business intelligence and advanced analytics, ensuring data quality, integrity, and reliability.
• Collaborate with cross-functional teams, including engineering, product, and data science, to design, build, test, and automate data pipelines.
• Develop and maintain optimal data pipeline architecture, ensuring scalability, flexibility, and performance.
• Identify, design, and implement process improvements, automating manual processes and optimizing data delivery.
• Implement big data and NoSQL solutions, developing scalable data processing platforms to drive high-value insights.
• Support the development of Data Dictionaries and Data Taxonomy for product offerings.
• Demonstrate strong understanding of coding and programming concepts to build data pipelines, including data transformation, data quality, and data integration.
• Build data models with Data Modelers and develop data pipelines to store data in defined data models and structures.
• Show strong understanding of data integration methods and tools, such as Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT) and database design.
• Identify ways to improve data reliability, efficiency, and quality of data management.

Essential Qualifications

• 3+ years of experience designing and operationalizing data pipelines with large and complex datasets.
• 3+ years of hands-on experience with Informatica PowerCenter.
• 3+ years of experience in Data Modeling, ETL, and Data Warehousing.
• 3+ years of hands-on experience with Informatica IICS.
• 3+ years of experience working with Cloud technologies, such as ADLS, Azure Data Factory, Azure Databricks, Databricks Live Table, Spark, Azure Synapse, and other big data technologies.
• Extensive experience working with various data sources, including SQL, Oracle database, flat files (csv, delimited), Web API, and XML.
• Advanced SQL skills and strong understanding of relational databases and business data, with the ability to write complex SQL queries against multiple data sources.
• Strong understanding of database storage concepts, including data lake, relational databases, NoSQL, Graph, and data warehousing.
• Able to work in a high-speed agile development environment.
• Flexibility to work on a rotational basis, including weekends, holidays, and 24/7 on-call duties.

Preferred Qualifications

• BA/BS in Computer Science, Engineering, or equivalent programming/services experience.
• Azure Certifications.
• Experience implementing data integration strategies, such as event/message-based integration (Kafka, Azure Event Hub), ETL.
• Experience with Git/Azure DevOps.
• Experience delivering data solutions through agile software development methodologies.
• Familiarity with the retail industry.
• Excellent verbal and written communication skills.
• Experience working with SAP integration tools, including Bodies.
• Experience with UC4 Job Scheduler.

Career Growth and Learning Benefits

At arenaflex, we are committed to the growth and development of our employees. As a Data Engineer, you will have the opportunity to work on complex and challenging projects, developing your skills and expertise in data engineering, analytics, and pipeline development. You will also have access to training and development programs, including mentorship, coaching, and education assistance, to help you achieve your career goals.

Work Environment and Company Culture

arenaflex is a dynamic and innovative organization that values its employees and customers. We offer a collaborative and supportive work environment, with a focus on teamwork, communication, and mutual respect. Our company culture is built on the principles of integrity, transparency, and accountability, and we strive to create a positive and inclusive work environment that fosters growth, creativity, and success.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including a salary range of $26 per hour, as well as a range of perks and benefits, including health insurance, retirement savings, and paid time off. We also offer a flexible work environment, with opportunities for remote work and flexible scheduling.

Conclusion

If you are a motivated and experienced Data Engineer looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at arenaflex. With its commitment to innovation, customer satisfaction, and employee growth, arenaflex is the perfect place to take your career to the next level. Apply now and join our team of talented and dedicated professionals who are shaping the future of retail.