**Experienced Full Stack Data Engineer – Cloud and Big Data Application Development**

At arenaflex, we're on a mission to revolutionize the way we process and analyze data, and we're looking for a talented Full Stack Data Engineer to join our team. As a key member of our Dataworks team, you'll play a critical role in designing, building, and maintaining large-scale data pipelines that drive business value and inform strategic decisions. **About arenaflex** arenaflex is a leading provider of innovative data solutions, dedicated to helping organizations unlock the full potential of their data. With a strong focus on collaboration, innovation, and customer satisfaction, we're committed to delivering exceptional results and driving business growth. Our team is passionate about data and technology, and we're always looking for talented individuals who share our vision and values. **Job Summary** We're seeking an experienced Full Stack Data Engineer to join our team, responsible for designing, building, and maintaining large-scale data pipelines that drive business value and inform strategic decisions. As a key member of our Dataworks team, you'll work closely with cross-functional teams to deliver high-quality solutions that meet the needs of our customers. **Key Responsibilities** * Design, build, and maintain large-scale data pipelines that ingest, transform, and process data from various sources * Collaborate with data scientists, engineers, and business stakeholders to identify business needs and develop data-driven solutions * Develop and maintain data processing frameworks, including data ingestion, transformation, and storage * Work with distributed systems, including Hadoop, Spark, and NoSQL databases * Develop and maintain data pipelines using tools like Apache Beam, Apache Kafka, and Apache NiFi * Collaborate with DevOps teams to ensure smooth deployment and operation of data pipelines * Troubleshoot and resolve complex data-related issues, including data quality, performance, and security * Develop and maintain data visualizations and reports to support business decision-making * Stay up-to-date with emerging trends and technologies in data engineering and architecture **Essential Qualifications** * Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience in data engineering, with a focus on large-scale data processing and analytics * Strong understanding of data processing frameworks, including Hadoop, Spark, and NoSQL databases * Experience with distributed systems, including Apache Beam, Apache Kafka, and Apache NiFi * Strong programming skills in languages like Java, Python, and Scala * Experience with data visualization tools like Tableau, Power BI, or D3.js * Strong understanding of data security, governance, and compliance * Excellent communication and collaboration skills, with the ability to work with cross-functional teams **Preferred Qualifications** * Master's degree in Computer Science, Engineering, or related field * Experience with cloud-based data platforms, including AWS, GCP, or Azure * Experience with machine learning and artificial intelligence, including TensorFlow, PyTorch, or Scikit-Learn * Strong understanding of data warehousing and business intelligence * Experience with data governance and compliance frameworks, including GDPR, HIPAA, or PCI-DSS * Strong understanding of DevOps practices and tools, including Jenkins, Docker, and Kubernetes **Skills and Competencies** * Strong programming skills in languages like Java, Python, and Scala * Experience with data processing frameworks, including Hadoop, Spark, and NoSQL databases * Strong understanding of distributed systems, including Apache Beam, Apache Kafka, and Apache NiFi * Experience with data visualization tools like Tableau, Power BI, or D3.js * Strong understanding of data security, governance, and compliance * Excellent communication and collaboration skills, with the ability to work with cross-functional teams * Strong problem-solving skills, with the ability to troubleshoot complex data-related issues * Strong understanding of cloud-based data platforms, including AWS, GCP, or Azure **Career Growth Opportunities and Learning Benefits** At arenaflex, we're committed to helping our employees grow and develop their careers. As a Full Stack Data Engineer, you'll have access to a range of training and development opportunities, including: * Regular training sessions and workshops on emerging trends and technologies in data engineering and architecture * Opportunities to work on high-profile projects and collaborate with cross-functional teams * Access to a range of online courses and training programs, including Coursera, Udemy, and edX * Mentorship and coaching from experienced data engineers and architects * Opportunities to attend industry conferences and events, including Strata, Hadoop Summit, and DataWorks Summit **Work Environment and Company Culture** At arenaflex, we're committed to creating a positive and inclusive work environment that supports the well-being and success of our employees. As a Full Stack Data Engineer, you'll have access to a range of benefits and perks, including: * Flexible work arrangements, including remote work options and flexible hours * Comprehensive health and wellness programs, including medical, dental, and vision insurance * Access to a range of employee benefits, including 401(k), life insurance, and disability insurance * Opportunities to participate in community service and volunteer programs * Access to a range of employee amenities, including on-site fitness center, cafeteria, and game room **Compensation, Perks, and Benefits** As a Full Stack Data Engineer at arenaflex, you'll be rewarded with a competitive salary and benefits package, including: * Salary: $25/hour * Comprehensive health and wellness programs, including medical, dental, and vision insurance * Access to a range of employee benefits, including 401(k), life insurance, and disability insurance * Opportunities to participate in community service and volunteer programs * Access to a range of employee amenities, including on-site fitness center, cafeteria, and game room **How to Apply** If you're a talented Full Stack Data Engineer looking for a new challenge, we'd love to hear from you! Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you and explore how you can contribute to our team's success! Apply Job! Apply for this job