Join the Data Engineering Team at arenaflex
Are you ready to be part of one of the world's most respected companies and shape the future of data-driven decision making? Welcome to arenaflex, where innovation meets opportunity and your career truly matters. As the third-largest retailer globally with wholesale operations spanning fourteen countries, arenaflex continues to maintain its family-oriented, employee-driven culture that has earned us recognition as one of the best companies to work for in the world.
Our IT division is at the heart of arenaflex's digital transformation, and we are seeking a talented and passionate Data Engineer to join our Business Intelligence and Analytics team for our growing e-commerce division. This is your chance to work with massive datasets, cutting-edge cloud technologies, and a team of brilliant minds who are committed to excellence in everything we do.
In this role, you will be responsible for building and maintaining the end-to-end data pipelines that drive critical business insights and data services across the entire organization. You will play a pivotal role in constructing automated data pipelines from a variety of internal and external data sources, working closely with product owners, BI engineers, and data platform teams to design, build, test, and automate the data infrastructure that serves as the single source of truth for our enterprise.
What You'll Do
As a Data Engineer specializing in BI and Analytics for E-Commerce at arenaflex, you will be instrumental in transforming raw data into actionable intelligence. Your primary responsibilities will include:
- Design and Implementation: Plan, develop, implement, and operationalize ETL/ELT processes using Informatica Cloud (IICS) to ensure seamless data flow across all systems.
- Collaborative Architecture: Work closely with Data Architects and BI specialists to design robust data pipelines and recommend continuous improvements to data storage, ingestion, quality, and governance.
- Pipeline Excellence: Create and maintain optimal data pipeline architecture that can scale with our growing business needs.
- Process Optimization: Identify, plan, and execute internal process improvements by automating manual processes and enhancing data delivery mechanisms.
- Big Data Solutions: Implement big data and NoSQL solutions by developing scalable data processing platforms that drive high-value insights for the organization.
- Data Governance: Support the development of Data Dictionaries and Data Taxonomies for product solutions, ensuring consistency and reliability across all data assets.
- Code Development: Demonstrate strong understanding of coding and programming concepts to build comprehensive data pipelines including data transformation, data quality, and data integration.
- Data Modeling: Build data models in collaboration with Data Architects and develop data pipelines to store information in defined data models and structures.
- Integration Expertise: Show strong proficiency in data integration methods and tools, including ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) approaches.
- Storage Solutions: Maintain solid understanding of database storage concepts including data lakes, relational databases, NoSQL, Graph, and data warehousing solutions.
- Quality Assurance: Identify ways to improve data reliability, efficiency, and quality of data management practices.
- Ad-Hoc Analysis: Conduct impromptu data retrieval for business reports and dashboards as needed.
- Data Integrity: Evaluate the integrity of data from various sources to ensure accuracy and consistency.
- Database Administration: Manage database configuration including installing and upgrading software while maintaining appropriate documentation.
- Performance Monitoring: Monitor database activity and resource usage to ensure optimal performance.
- Peer Review: Perform peer reviews for other Data Engineer's work to maintain quality standards.
- Cloud Platform Utilization: Use Azure services including Azure SQL DW (Synapse), ADLS, Azure Event Hub, and Azure Data Factory to enhance and accelerate delivery of data products and services.
What We're Looking For
Required Qualifications
To succeed in this role, you must bring a proven track record of data engineering excellence:
- Experience: Minimum 2+ years of experience designing and operationalizing data pipelines with large and complex datasets.
- ETL Tools: 2+ years of hands-on experience with Informatica IICS or PowerCenter.
- Data Management: 2+ years of experience in Data Modeling, ETL, and Data Warehousing concepts.
- Cloud Technologies: 2+ years of experience working with cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB, and other big data technologies.
- E-Commerce Background: Experience with advanced e-commerce and clickstream data analysis.
- Multi-Source Data: Extensive experience working with diverse data sources including SQL, Oracle database, flat files (CSV, delimited), Web APIs, and XML.
- SQL Expertise: Advanced SQL skills with strong understanding of relational databases and business data; ability to write complex SQL queries against multiple data sources.
- Database Storage: Solid comprehension of database storage concepts including data lake, relational databases, NoSQL, Graph, and data warehousing.
- Agile Environment: Ability to thrive in a fast-paced agile development environment.
- Flexibility: Planning flexibility to meet business needs including weekends, holidays, and 24/7 on-call responsibilities on a rotational basis.
Preferred Qualifications
While not required, these qualifications will help you stand out:
- Education: BA/BS in Computer Science, Engineering, or related software/services experience.
- Cloud Certifications: Azure certifications demonstrating expertise in cloud platforms.
- Integration Techniques: Experience implementing data integration techniques like event/message-based integration (Kafka, Azure Event Hub), ETL.
- DevOps Experience: Experience with Git/Azure DevOps for version control and deployment.
- Agile Delivery: Experience delivering data solutions through agile software development approaches.
- Industry Knowledge: Exposure to the retail industry and understanding of retail business processes.
- Communication Skills: Excellent verbal and written communication skills to effectively collaborate with cross-functional teams.
- Scheduling Tools: Experience with UC4 Job Scheduler for automated job management.
- Visualization Tools: Experience with Power BI for data visualization and reporting.
Why Join arenaflex
At arenaflex, we believe that our greatest asset is our people. We are proud to be recognized as one of the world's best employers, and we are committed to providing our team members with the benefits, support, and opportunities they need to succeed both professionally and personally.
Comprehensive Benefits Package
- Healthcare Coverage: Comprehensive healthcare benefits for qualified employees including medical, dental, and vision coverage, which may extend to dependents.
- Retirement Savings: 401(k) retirement savings plan with company matching contributions to help you save for your future.
- Employee Stock Purchase Plan: ESPP that allows qualified employees to purchase company stock at a discounted price through payroll deductions.
- Life and Disability Insurance: Life insurance coverage and disability insurance for financial security.
- Paid Time Off: Generous paid time off including vacation days, holidays, and sick leave, with amounts varying based on tenure and position.
- Tuition Reimbursement: Educational reimbursement for qualified employees pursuing further education or work-related courses and degrees.
- Employee Discounts: Exclusive discounts on products and services offered by arenaflex, including warehouse products, travel services, optical services, and more.
- Employee Assistance Program: EAP providing support for personal and work-related challenges including counseling services, legal assistance, financial advisory, and other support services.
Career Growth and Development
arenaflex is dedicated to helping our employees grow and advance in their careers. We offer:
- Extensive training programs to develop your skills and expertise.
- Mentorship opportunities with experienced professionals in the field.
- Internal promotion opportunities for qualified employees.
- Exposure to cutting-edge technologies and methodologies.
- Cross-functional collaboration opportunities across different teams and departments.
Work-Life Balance
We understand the importance of maintaining a healthy balance between work and personal life. arenaflex offers flexible scheduling options and remote work opportunities to help our employees manage their professional and personal commitments effectively.
Ready to Make an Impact?
If you're passionate about data engineering, thrive in collaborative environments, and want to be part of a company that truly values its employees, then arenaflex is the place for you. This is your opportunity to join a team that is transforming the way we use data to drive business decisions and create exceptional experiences for millions of customers worldwide.
Take the next step in your career and apply today. Let your professional journey be redefined at arenaflex, where your contributions matter and your potential is unlimited.
We are an equal opportunity employer and welcome all qualified candidates to apply. Join us and discover why arenaflex continues to be recognized as one of the best companies to work for in the world.