Experienced Full Stack Data Engineer – Web & Cloud Application Development at arenaflex

Join arenaflex, a leading global retailer, and become a part of our innovative team that's revolutionizing the way we shop and live. At arenaflex, we're committed to providing our customers with the best possible shopping experience, and we're looking for talented individuals like you to help us achieve this goal. As a Data Engineer at arenaflex, you'll play a critical role in designing and operationalizing data pipelines to make data accessible for business intelligence, advanced analytics, and services. If you're passionate about data engineering, have a strong foundation in programming and SQL, and are eager to work in a fast-paced, dynamic environment, we want to hear from you!

About arenaflex

arenaflex is a multinational retailer with a presence in 14 countries, and we're committed to providing our customers with the best possible shopping experience. We're a family-owned business that values our employees and provides a supportive, inclusive work environment. As a result, we've been recognized as one of the "World's Best Bosses" by Forbes. We're proud of our reputation for excellence and are looking for talented individuals like you to join our team.

Job Summary

As a Data Engineer at arenaflex, 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 intelligence architects to plan and maintain flexible data models and pipelines. You'll also 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.

Key Responsibilities

* Design and operationalize data pipelines to make data accessible for business intelligence, advanced analytics, and services

• Work closely 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 processes, streamlining data delivery
• Carry out large data and NoSQL solutions by creating flexible data handling stages to drive high-value insights to the organization
• Uphold advancement of Data Dictionaries and Data Scientific 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
• 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 utilization (BI, Advanced analysis, 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

Essential Qualifications

* 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, 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, Chart, data warehousing)
• 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, 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 and benefits package

• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance
• Flexible scheduling and work-life balance
• Access to cutting-edge technology and tools
• Opportunities to work on high-impact projects and initiatives
• Recognition and rewards for outstanding performance

How to Apply

If you're a motivated and talented individual who is passionate about data engineering, we want to hear from you! Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you and learn more about your qualifications and experience.

Note:

arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and supportive work environment that values diversity, equity, and inclusion. Apply for this job