Experienced Full Stack Data Engineer – Web & Cloud Application Development at arenaflex
Join arenaflex, a leading global retailer, as we continue to revolutionize the way we shop and live.
About arenaflex
arenaflex is the third-largest retailer in the world, with discount stores in 14 countries. Despite our size and rapid global expansion, we remain committed to providing a family-friendly work environment where our employees thrive and succeed. As a testament to our values, arenaflex ranks seventh in Forbes' "World's Best Bosses" list. Our IT department plays a crucial role in driving our business forward, and we're looking for talented individuals to join our team.
Job Summary
We're seeking an experienced Full Stack Data Engineer to join our team at arenaflex. As a key member of our data engineering team, you will be responsible for designing and operationalizing data pipelines to make data accessible for business intelligence, advanced analytics, and services. You will work closely with data architects, data researchers, and BI architects to plan and maintain flexible data models and pipelines.
Key Responsibilities
* Design and operationalize data pipelines to control analysis and data services
* Collaborate with product owners, engineering, and data stage teams to design, build, test, and automate data pipelines that are relied upon across the organization as the single source of truth
* Gather large, complex datasets to meet business needs
* Work with data architects to adjust on data engineering requirements
* Create and maintain optimal data pipeline design
* Identify, plan, and implement internal cycle improvements: automating manual cycles, 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 Catalogs and Data Science categorization for product solutions
* Demonstrate a solid 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 designs
* Demonstrate a solid 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
* Manage 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 utilization (BI, Advanced analysis, Services)
* Work with data designers and data/BI architects to plan data pipelines and suggest continuous streamlining of data storage, data ingestion, data quality, and organization
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 advancements, like ADLS, Azure Data Factory, Azure Databricks, Databricks Live Table, Azure Synapse Analytics, and other big data innovations
* 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
* Solid understanding of database management concepts (data lake, social databases, NoSQL, Data Warehouse, etc.)
* Ability 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 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
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 be part of a dynamic team that's shaping the future of retail, apply now! We can't wait to hear from you.