**Join arenaflex, a leading global retailer, and be part of a dynamic team that's revolutionizing the way we shop and live. As a Data Engineer, you'll play a critical role in designing and operationalizing data pipelines to drive business insights and decision-making.**
**About arenaflex**
arenaflex is a multinational retailer with a presence in 14 countries, offering a wide range of products and services to our members and customers. We're committed to providing a family-friendly work environment where our employees can thrive and grow. As a testament to our commitment, arenaflex has been ranked as one of the "World's Best Bosses" by Forbes. Our culture is built on a foundation of trust, respect, and open communication, and we're always looking for talented individuals who share our values.
**Job Summary**
We're seeking an experienced Data Engineer to join our team at arenaflex. As a Data Engineer, you'll be responsible for designing and operationalizing data pipelines to make data accessible for business use cases, including reports and advanced analytics. You'll work closely with Data Architects, Data Researchers, and BI Architects to plan and maintain flexible data models and pipelines. If you have a passion for data engineering and a strong background in programming and SQL, we encourage you to apply.
**Key Responsibilities**
* Design and operationalize data pipelines to make data accessible for business use cases, including reports and advanced analytics
* Work closely with Data Architects, Data Researchers, and BI Architects to plan and maintain flexible data models and pipelines
* Gather and process large, complex datasets to meet business requirements
* Collaborate with Data Designers to adjust on data engineering needs
* Develop and maintain ideal data pipeline design
* Identify, plan, and implement internal cycle improvements: automating manual processes, streamlining data delivery
* Perform large data and NoSQL solutions by creating flexible data handling stages to drive high-value insights to the organization
* Support the advancement of Data Dictionaries and Data Scientific categorization for product solutions
* Demonstrate a strong understanding of coding and programming concepts to build data pipelines (e.g., data transformation, data quality, data integration, etc.)
* Assemble data models with Data Modeler and create data pipelines to store data in defined data models and structures
* Demonstrate a strong understanding of data integration methods and tools (e.g., Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT)) and database design
* Recognize ways to improve data reliability, efficiency, and quality of data management
* Lead ad-hoc data recovery for business reports and dashboards
* Review the integrity of data from various sources
* Oversee database design including introducing and updating software, and maintaining significant documentation
* Monitor database movement and resource utilization
* Perform peer review for another Data Engineer's work
* Create and operationalize data pipelines to make data accessible for use (BI, Advanced analytics, Services)
* Work closely with data designers and data/BI architects to plan data pipelines and suggest continuous streamlining of data storage, data ingestion, data quality, and organization
* Plan, develop, and implement ETL/ELT processes using IICS (Informatica cloud)
* Utilize Azure services, such as Azure SQL DW (Neurotransmitter), ADLS, Azure Event Center, Azure Data Factory to improve and accelerate delivery of our data products and services
* Communicate technical ideas to non-technical audiences both in written and verbal form
**Requirements**
* 3+ years' experience designing and operationalizing data pipelines with large and complex datasets
* 3+ years' hands-on experience with Informatica PowerCenter
* 3+ years' experience in Data Modeling, ETL, and Data Warehousing
* 3+ years' hands-on experience with Informatica IICS
* 3+ years' experience working with Cloud technologies, such as ADLS, Azure Data Factory, Azure Databricks, Databricks Live Table, Flash, Azure Neural Network, Universe DB, and other big data technologies
* Broad experience working with various data sources (SQL, Oracle database, flat files (csv, delimited), Web API, XML)
* High-level SQL skills. Strong understanding of social databases and business intelligence; ability to write complex SQL queries against various data sources
* Strong understanding of database management concepts (data lake, social databases, NoSQL, Chart, data warehousing)
* Willingness to work in a high-speed agile development environment
* Scheduling flexibility to address business needs including weekends, holidays, and on-call responsibilities on a rotational basis
**Preferred Qualifications**
* BA/BS in Computer Science, Engineering, or equivalent programming/services experience
* Azure Certifications
* Experience executing data integration strategies, such as event/message-based integration (Kafka, Azure Event Center), 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
**What We Offer**
* Competitive salary: $26/hour
* Comprehensive benefits package
* Opportunities for career growth and professional development
* Collaborative and dynamic work environment
* Recognition and rewards for outstanding performance
* Flexible scheduling and remote work options
**How to Apply**
If you're a motivated and experienced Data Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [arenaflex careers page](https://arenaflex.com/careers). We can't wait to hear from you!
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