Introduction to arenaflex
arenaflex is a leading global retailer with operations in fourteen countries, committed to providing a family-oriented, employee-driven environment where our team members thrive and succeed. As one of the world's best employers, according to Forbes, we continue to offer a unique blend of professional growth opportunities and a supportive work culture. Our IT department is responsible for shaping the technical future of arenaflex, and we are now seeking an experienced Data Engineer - Data Analytics to join our team.
Job Overview
As a Data Engineer - Data Analytics at arenaflex, 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 develop 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, build, and deploy automated data pipelines from various internal and external data sources to support analysis and data services
- Collaborate with product owners, engineering, and data platform teams to design, build, test, and automate data pipelines that serve as the single source of truth across the organization
- Develop and maintain optimal data pipeline architecture, ensuring data quality, integrity, and reliability
- Identify, design, and implement internal process improvements, such as automating manual processes and 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, including data transformation, data quality, and data integration
- Build data models with Data Modeler and develop data pipelines to store data in defined data models and formats
- Show strong understanding of data integration methods and tools, such as Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT) and database architecture
- 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
- Broad 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; 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 Opportunities and Learning Benefits
At arenaflex, we are committed to providing our team members with opportunities for professional 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 new skills and expertise. Our comprehensive training programs, mentorship opportunities, and supportive work environment will help you achieve your career goals and succeed in your role.
Work Environment and Company Culture
arenaflex is a dynamic and innovative company that values diversity, inclusivity, and employee satisfaction. Our work environment is collaborative, supportive, and fast-paced, with a focus on teamwork, open communication, and mutual respect. We offer a range of benefits, including competitive salaries, comprehensive health insurance, retirement plans, and paid time off, to ensure that our team members feel valued and appreciated.
Compensation, Perks, and Benefits
As a Data Engineer - Data Analytics at arenaflex, you can expect a competitive salary, comprehensive benefits, and a range of perks, including:
- Competitive salary: $26/hour
- Comprehensive health insurance
- Retirement plans
- Paid time off
- Opportunities for professional growth and development
- Collaborative and supportive work environment
- Recognition and reward programs
Conclusion
If you are a motivated and experienced Data Engineer - Data Analytics looking for a new challenge and opportunity to grow your career, we encourage you to apply for this exciting role at arenaflex. With our commitment to innovation, diversity, and employee satisfaction, we offer a unique and rewarding work environment that will help you succeed and thrive. Apply now and join our team of talented professionals who are shaping the future of retail and data analytics.
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