Introduction to arenaflex
arenaflex, a leading global retailer with operations in fourteen countries, is seeking a highly skilled and experienced Data Engineer - Data Analytics to join its innovative and dynamic team. As a company that values its employees and fosters a family-driven environment, arenaflex has been recognized as one of the "World's Best Employers" by Forbes. With a strong commitment to providing a supportive and inclusive work environment, arenaflex offers its employees the opportunity to thrive and succeed in their careers.
Job Overview
The Data Engineer - Data Analytics will be responsible for designing, developing, and operationalizing data pipelines to make data available for consumption (reports and advanced analytics). This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, coordination, and collaboration with DevOps Engineers during CI/CD. The ideal candidate will have a strong foundation in programming and SQL, as well as expertise in data storage, modeling, cloud, data warehousing, and data lakes.
Key Responsibilities
- Design and develop data pipelines to build and deliver automated data pipelines from a variety of internal and external data sources
- Collaborate with product owners, engineering, and data platform teams to design, build, test, and automate data pipelines that are relied upon across the organization as the single source of truth
- Develop and maintain optimal data pipeline architecture
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
- Implement big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization
- Support the development of Data Dictionaries and Data Taxonomy for product offerings
- Demonstrate strong understanding of coding and programming concepts to build data pipelines (e.g., data transformation, data quality, data integration, etc.)
- Build data models with Data Modeler and develop data pipelines to store data in defined data models and formats
- Demonstrate strong understanding of data integration methods and tools (e.g., Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT)) and database architecture
- Identify ways to improve data reliability, efficiency, and quality of data management
- Lead ad-hoc data retrieval for business reports and dashboards
- Review the integrity of data from various sources
- Manage database design including installing and upgrading software, and maintaining significant documentation
- Monitor database activity and resource utilization
- Perform peer review for another Data Engineer's work
Essential Qualifications
The ideal candidate will have:
- 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, Cosmos DB, and other big data technologies
- Broad experience working with various data sources (SQL, Oracle database, flat files (csv, delimited), Web API, XML)
- Advanced SQL skills. Strong understanding of relational databases and business data; ability to write complex SQL queries against multiple data sources
- Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing)
- Able to work in a high-speed agile development environment
- Scheduling flexibility to meet the needs of the business including weekends, holidays, and 24/7 on-call duties on a rotational basis
Preferred Qualifications
Preferred candidates will have:
- 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 processes
- 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 Opportunities and Learning Benefits
At arenaflex, we are committed to providing our employees with opportunities for growth and development. As a Data Engineer - Data Analytics, you will have the chance to work on complex and challenging projects, collaborate with experienced professionals, and develop your skills and expertise in data engineering and analytics. You will also have access to training and development programs, mentorship, and opportunities for advancement within the company.
Work Environment and Company Culture
arenaflex is a dynamic and innovative company that values its employees and fosters a supportive and inclusive work environment. We believe in providing our employees with the tools and resources they need to succeed, as well as opportunities for growth and development. Our company culture is built on a foundation of respect, integrity, and teamwork, and we are committed to making a positive impact on our customers, employees, and the communities we serve.
Compensation, Perks, and Benefits
arenaflex offers a competitive salary and benefits package, including:
- Salary: $26/hour
- Comprehensive benefits package, including medical, dental, and vision insurance
- 401(k) retirement plan with company match
- Paid time off and holidays
- Opportunities for growth and development
- Collaborative and dynamic work environment
Conclusion
If you are a motivated and experienced Data Engineer - Data Analytics looking for a new challenge, we encourage you to apply for this exciting opportunity at arenaflex. With its commitment to innovation, customer satisfaction, and employee development, arenaflex is the perfect place to take your career to the next level. Apply now and join our team of talented professionals who are passionate about delivering exceptional results and making a positive impact on our customers and communities.
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