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Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at arenaflex

Remote Full-time Live

Join arenaflex's dynamic team of data professionals and embark on a rewarding career journey as a Full Stack Data Engineer.

About arenaflex

arenaflex is a leading healthcare company that has been revolutionizing the industry with innovative solutions and cutting-edge technology. With a strong commitment to excellence and customer satisfaction, arenaflex has established itself as a trusted partner for individuals and organizations seeking top-notch healthcare services. Our mission is to empower people to live healthier, happier lives by providing accessible, affordable, and high-quality healthcare solutions.

Job Summary

We are 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, developing, and maintaining large-scale data pipelines and architectures that support our business and information science needs. You will work closely with cross-functional teams to ensure seamless integration of data and analytics into our applications and services.

Key Responsibilities

* Design and develop large-scale data pipelines and architectures to collect, process, and normalize data from various sources

  • Develop ETL (Extract, Transform, Load) processes, data set frameworks, and tools for continuous and batch processing of data
  • Collaborate with data science teams to integrate data and analytics into our applications and services
  • Work with cloud-based platforms (GCP, AWS, Azure) to design and implement scalable data architectures
  • Develop strong data stores and data models to support information science and other internal clients
  • Ensure data quality and accessibility by incorporating data from various sources and adhering to industry standards
  • Investigate current data technology trends to identify and evaluate key capabilities and suggest solutions
  • Explore new tools and technologies to determine the best approach for our data needs

Essential Qualifications

* Bachelor's degree in Computer Science, Information Technology, or related field

  • 5+ years of experience in data engineering, with a strong focus on data design and architecture
  • 5+ years of experience with SQL and Python programming languages
  • Experience with cloud-based platforms (GCP, AWS, Azure)
  • Strong communication, decision-making, and critical thinking skills

Preferred Qualifications

* Experience with Hadoop, Hive, or PySpark

  • Experience with data visualization tools (Tableau, Power BI)
  • Experience with healthcare industry data (EMRs, claims data, etc.)
  • Knowledge of data governance and data quality best practices

Skills and Competencies

* Strong understanding of data engineering principles and practices

  • Experience with data modeling, data warehousing, and data governance
  • Proficiency in Python, SQL, and cloud-based platforms (GCP, AWS, Azure)
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
  • Ability to work in a fast-paced environment with multiple priorities

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 experienced professionals
  • Access to cutting-edge technology and tools to stay up-to-date with industry trends

Work Environment and Company Culture

* arenaflex is a remote-friendly company that offers flexible work arrangements to support work-life balance

  • Collaborative and inclusive work environment with a diverse team of professionals
  • Opportunities for professional growth and development in a dynamic and innovative company
  • Access to cutting-edge technology and tools to stay up-to-date with industry trends

Compensation, Perks, and Benefits

* Competitive salary and benefits package

  • Flexible work arrangements to support work-life balance
  • Access to cutting-edge technology and tools to stay up-to-date with industry trends
  • Opportunities for professional growth and development in a dynamic and innovative company

How to Apply

If you are a motivated and experienced data professional looking for a new challenge, please submit your application through our website. We look forward to hearing from you! Apply Now! Apply for this job

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