Experienced Full Stack Data Engineer – Web & Cloud Application Development @ arenaflex Remote Jobs
Join arenaflex, a leading global retailer, and be part of a dynamic team that's revolutionizing the way we shop. As a Data Engineer, you'll play a crucial role in designing and operationalizing data pipelines to drive business insights and inform strategic decisions.
About arenaflex
arenaflex is a multinational retailer with a presence in 14 countries, offering a wide range of products and services to its customers. With a strong commitment to innovation and customer satisfaction, arenaflex has been recognized as one of the best places to work, ranking seventh in Forbes' "World's Best Bosses" list. Our company culture is built on a foundation of teamwork, collaboration, and continuous learning, providing a supportive and inclusive environment for our employees to grow and thrive.
Job Summary
We're seeking an experienced Full Stack 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 intelligence, advanced analytics, and services. You'll work closely with data architects, data scientists, and business stakeholders to plan and maintain flexible data models and pipelines. If you're passionate about data engineering, have a strong background in programming and SQL, and enjoy working in a fast-paced environment, we'd love to hear from you.
Key Responsibilities
* Design and operationalize data pipelines to make data accessible for business intelligence, advanced analytics, and services
- Collaborate with data architects, data scientists, and business stakeholders to plan and maintain flexible data models and pipelines
- Gather and process large, complex datasets to meet business requirements
- Work with data engineers to adjust on data engineering needs
- Develop and maintain ideal data pipeline design
- Identify, plan, and implement process improvements: automating manual processes, streamlining data delivery
- Develop and maintain data models with data modeler and create data pipelines to store data in defined data models and designs
- Show strong understanding of data integration methods and tools (e.g., Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT))
- Show strong understanding of data storage concepts (data lake, social data sets, NoSQL, graph, data warehousing)
- 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 different sources
- Manage data storage design including installing and updating software, and maintaining significant documentation
- Monitor data storage movement and resource utilization
- Perform peer review for another data engineer's work
- Create and operationalize data pipelines to make data accessible for utilization (BI, advanced analytics, services)
- Work with data engineers 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, like 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, like ADLS, Azure Data Factory, Databricks Live Table, Flash, Azure Neural Network, Universe DB, and other big data technologies
- Broad experience working with different data sources (SQL, Oracle database, flat files (csv, delimited), Web API, XML)
- High-level SQL skills. Strong understanding of social data sets and business data; ability to write complex SQL queries against various data sources
- Strong understanding of data storage concepts (data lake, social data sets, NoSQL, graph, 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, like 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
- Flexible scheduling to accommodate business needs
- Recognition and rewards for outstanding performance
How to Apply
If you're passionate about data engineering and want to join a dynamic team that's shaping the future of retail, apply now! Please submit your resume and a cover letter explaining why you're the perfect fit for this role. Apply for this job