**Experienced Full Stack Data Engineer – Web & Cloud Application Development @ arenaflex Remote Jobs Home**

**Join arenaflex, a leading global retailer with a family-driven culture, as we continue to innovate and grow in the ever-evolving retail landscape.** At arenaflex, we're committed to providing an exceptional shopping experience for our members and customers, and we're looking for talented professionals to join our team. As a Data Engineer – Web & Cloud Application Development, you'll play a critical role in designing and operationalizing data pipelines to drive business insights and decision-making. **About arenaflex** arenaflex is the third-largest retailer in the world, with discount stores in 14 countries. Despite our size and global expansion, we maintain a family-driven culture that empowers our employees to thrive and succeed. As a testament to our commitment to our employees, arenaflex ranks seventh in Forbes' "World's Best Bosses" list. **Job Summary** As a Data Engineer – Web & Cloud Application Development, you'll be responsible for creating 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 BI architects to design and maintain flexible data models and pipelines. Your expertise in programming and SQL will enable you to build and maintain data pipelines, ensuring data quality, integrity, and scalability. **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 BI architects to design and maintain flexible data models and pipelines * Develop and maintain data pipelines using programming languages such as Python, Java, or C# * Ensure data quality, integrity, and scalability through data validation, data cleansing, and data transformation * Work with data sources, including relational databases, NoSQL databases, and cloud-based data storage solutions * Develop and maintain data visualizations and reports using tools such as Tableau, Power BI, or D3.js * Collaborate with cross-functional teams to identify business requirements and design data solutions to meet those needs * Develop and maintain documentation for data pipelines, data models, and data visualizations * Participate in code reviews and ensure adherence to coding standards and best practices * Stay up-to-date with industry trends and emerging technologies in data engineering and cloud computing **Essential Qualifications** * Bachelor's degree in Computer Science, Information Technology, or a related field * 3+ years of experience designing and operationalizing data pipelines with large and complex datasets * 3+ years of hands-on experience with Informatica PowerCenter, Informatica IICS, and other ETL/ELT tools * 3+ years of experience working with cloud-based data storage solutions, such as ADLS, Azure Data Factory, and Databricks * Strong understanding of data modeling, data warehousing, and data lakes * Experience with data visualization tools, such as Tableau, Power BI, or D3.js * Strong understanding of programming languages, such as Python, Java, or C# * Experience with agile development methodologies and version control systems, such as Git **Preferred Qualifications** * Master's degree in Computer Science, Information Technology, or a related field * Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases * Experience with cloud-based data processing frameworks, such as Apache Beam or AWS Glue * Experience with data governance and data quality frameworks * Experience with data security and compliance frameworks * Experience with DevOps tools, such as Jenkins, Docker, or Kubernetes * Experience with cloud-based data storage solutions, such as Amazon S3 or Google Cloud Storage **Skills and Competencies** * Strong understanding of data engineering principles and practices * Experience with data modeling, data warehousing, and data lakes * Strong understanding of programming languages, such as Python, Java, or C# * Experience with data visualization tools, such as Tableau, Power BI, or D3.js * Strong understanding of cloud-based data storage solutions, such as ADLS, Azure Data Factory, and Databricks * Experience with agile development methodologies and version control systems, such as Git * Strong communication and collaboration skills * Ability to work in a fast-paced, dynamic environment * Strong problem-solving and analytical skills **Career Growth Opportunities and Learning Benefits** * arenaflex offers a comprehensive training program to help you develop your skills and advance your career * Opportunities for professional growth and development in a dynamic and innovative company * Collaborative and supportive work environment with a diverse team of professionals * Flexible work arrangements, including remote work options * Competitive salary and benefits package, including health insurance, retirement plan, and paid time off **Work Environment and Company Culture** * arenaflex is a family-driven culture that empowers our employees to thrive and succeed * Collaborative and supportive work environment with a diverse team of professionals * Flexible work arrangements, including remote work options * Opportunities for professional growth and development in a dynamic and innovative company * Competitive salary and benefits package, including health insurance, retirement plan, and paid time off **Compensation, Perks, and Benefits** * Competitive salary: $26/hour * Comprehensive benefits package, including health insurance, retirement plan, and paid time off * Flexible work arrangements, including remote work options * Opportunities for professional growth and development in a dynamic and innovative company * Collaborative and supportive work environment with a diverse team of professionals **How to Apply** If you're a motivated and talented professional looking for a challenging and rewarding career opportunity, apply now to join arenaflex's team of data engineers. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. Apply for this job