**Experienced Full Stack Data Engineer – Cloud-Based Data Pipeline Development for arenaflex**

**Job Summary:** Join arenaflex, a leading global retailer with a family-driven atmosphere, as a Full Stack Data Engineer to drive our data-driven strategies and decision-making processes. As a key member of our IT team, you will design, develop, and operationalize data pipelines to make data accessible for utilization across the organization. With a focus on cloud-based technologies and big data analytics, you will work closely with product owners, design, and data stage teams to create, test, and automate data pipelines that are relied upon as the single source of truth. **About arenaflex:** arenaflex is a global leader in the retail industry, with a strong commitment to providing a family-driven atmosphere for our employees to flourish and succeed. As a testament to our success, arenaflex ranks seventh in Forbes' "World's Best Bosses." Our IT team plays a critical role in driving our business forward, and we are seeking a talented Full Stack Data Engineer to join our team. **Job Responsibilities:** * Creates and operationalizes data pipelines to make data accessible for utilization (arenaflex Strategies BI) * Works with data designers and data/BI architects to design data pipelines and suggests ongoing streamlining of data storage, data ingestion, data quality, and integration * Plans, develops, and implements ETL/ELT processes using IICS (Informatica Cloud) * Utilizes MySQL to improve and accelerate delivery of our data products and services * Utilizes Azure services like Azure SQL DW (Neural connection), ADLS, Azure Event Hub, Azure Data Factory to improve and accelerate delivery of our data products and services * Develops large data and NoSQL solutions by creating flexible data handling stages to drive high-value insights to the organization * Identifies, designs, and implements internal process improvements: automating manual processes, streamlining data delivery * Recognizes ways to improve data reliability, efficiency, and quality of data management * Conveys technical ideas to non-technical audiences both written and verbal * Performs peer reviews for other data architects' work **Requirements:** * 2+ years' experience designing and operationalizing data pipelines with large and complex datasets * 2+ years' experience working with Informatica PowerCenter * 2+ years' experience working with Informatica IICS * 2+ years' experience working with cloud technologies; like ADLS, Azure Databricks, Azure Data Lake, Azure Event Hub, and other big data technologies * 2+ years' experience in Data Modeling, ETL, and Data Warehousing * 2+ years' experience implementing data integration methods like event/message-based integration (Kafka, Azure Event Hub), ETL * 2+ years' experience working with Git/Azure DevOps * Broad experience working with various data sources; SQL, SQL Server database, flat files (csv, delimited), Web API, XML * High-level SQL skills; Understanding of social datasets, business data, and the ability to write complex SQL queries against various data sources * Strong understanding of data storage concepts; Data Lake, Social Datasets, NoSQL, Chart, Data Warehousing * Willingness to work in a fast-paced agile development environment * Preferred: + Microsoft Azure certifications + Experience delivering data solutions through agile software development methodologies + Experience with PowerShell, Python, or similar scripting languages + Experience with UC4 Job Scheduler + Familiarity with the retail industry + Excellent verbal and written communication skills + BA/BS in Computer Science, Engineering, or equivalent software/services experience **What We Offer:** * Competitive salary and benefits package * Opportunity to work with a global leader in the retail industry * Collaborative and dynamic work environment * Professional development and growth opportunities * Recognition and rewards for outstanding performance * Flexible work arrangements and work-life balance **How to Apply:** If you are a motivated and experienced Full Stack Data Engineer looking to join a dynamic team, please submit your application through our website. We look forward to hearing from you! **Note:** arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. Apply for this job