Experienced Full Stack Data Engineer – Cloud-Based Data Pipeline Development at arenaflex
Are you a highly skilled and motivated data engineer looking for a challenging and rewarding role in a dynamic and innovative company? Do you have a passion for designing and developing scalable and efficient data pipelines? If so, we have an exciting opportunity for you to join arenaflex as a Full Stack Data Engineer.
About arenaflex
arenaflex is a leading provider of innovative solutions in the healthcare industry. We are committed to delivering high-quality products and services that meet the evolving needs of our customers. Our team of experts is dedicated to pushing the boundaries of what is possible in data engineering, and we are looking for talented individuals like you to join our ranks.
Job Summary
We are seeking an experienced Full Stack Data Engineer to join our team in Chelmsford, USA. As a Full Stack Data Engineer, you will be responsible for designing and developing scalable and efficient data pipelines that meet the needs of our business stakeholders. You will work closely with our data science team to integrate data from various sources, ensure data quality and integrity, and provide insights that inform business decisions.
Key Responsibilities
* Design and develop scalable and efficient data pipelines using cloud-based technologies such as GCP, AWS, and Azure
- Collaborate with data science team to integrate data from various sources, ensure data quality and integrity, and provide insights that inform business decisions
- Develop and maintain ETL (Extract, Transform, Load) processes, data set frameworks, and tools for continuous and batch processing
- Work with data science team to change data and incorporate calculations and models into automated processes
- Involve data in Cloud, Hadoop, and experience planning and streamlining queries to build data pipelines
- Develop strong programming skills in Python, or any of the major languages, to build robust data pipelines and dynamic systems
- Assemble data stores and data models to support Information Science and other internal clients
- Incorporate data from various sources, ensuring that they adhere to data quality and accessibility standards
- Investigate current data technology conditions to identify and evaluate key functions and suggest solutions
- Explore available tools and counsel on new tools to determine optimal solution given the requirements directed by the model/use case
Essential Qualifications
* Bachelor's degree in Computer Science, Information Technology, or related field
- 5+ years of relevant work experience in data engineering
- 5+ years of experience with SQL
- 5+ years of experience with Python
- Experience with cloud-based stages (GCP, AWS, or Azure)
- Strong Communication, Decision-Making, and Critical Thinking skills
Preferred Qualifications
* Experience with Hadoop, Hive, or PySpark
- Experience with Visualization (Tableau)
- Healthcare industry data experience is a plus
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a dynamic and innovative team
- Collaborative and supportive work environment
- Professional development and growth opportunities
- Flexible work arrangements, including remote work options
- Access to cutting-edge technology and tools
- Recognition and rewards for outstanding performance
How to Apply
If you are a motivated and talented data engineer looking for a new challenge, please submit your application today. We look forward to hearing from you!
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Join Our Team!
This is a fantastic opportunity to grow your career and join a dynamic and innovative team. If you have the skills and passion we're looking for, please submit your application today. We look forward to hearing from you! Apply for this job