Are you a highly skilled and motivated data engineer looking for a challenging role that will allow you to make a significant impact? Do you have a passion for designing and developing scalable, high-performance data pipelines that drive business insights and decision-making? If so, we encourage you to apply for the Experienced Full Stack Data Engineer position at careerzynith.
**About careerzynith**
careerzynith is a leading provider of innovative solutions that help businesses unlock the full potential of their data. Our team of experts is dedicated to delivering cutting-edge technology and exceptional service to our clients, and we're looking for talented individuals like you to join our ranks. As a data engineer at careerzynith, you'll have the opportunity to work on a wide range of projects, from data warehousing and business intelligence to machine learning and artificial intelligence.
**Job Highlights**
* **Position:** Experienced Full Stack Data Engineer
* **Start Date:** Immediate openings available
* **Company:** careerzynith
* **Location:** Remote
* **Compensation:** A competitive salary
**Job Description**
As an Experienced Full Stack Data Engineer at careerzynith, you will play a critical role in designing, developing, and maintaining our cloud-based data pipelines. You will work closely with our data scientists, engineers, and analysts to develop scalable, high-performance data solutions that drive business insights and decision-making.
**Responsibilities and Key Activities**
* Demonstrate deep knowledge of the data engineering field, including non-interactive (batch, distributed) and real-time data, as well as available data and data pipelines.
* Develop and maintain documentation related to all assigned structures and projects.
* Provide training and lead the implementation of complex projects.
* Perform root cause analysis to identify permanent solutions to software or business process issues.
* Collaborate with cross-functional teams to design and develop data solutions that meet business requirements.
* Develop and maintain data pipelines using Spark, Azure, and other cloud-based technologies.
* Optimize data pipelines to provide client personas, data science, AI/ML, and data visualization.
* Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines.
**Basic Qualifications**
* Bachelor's degree in computer science, data science, or related field, or equivalent work experience.
* MUST HAVE Technology skills (7/10 or higher):
+ Strong/Professional Spark (PySpark) using Jupyter Notebooks, Colab, or DataBricks.
+ Hands-on data pipeline development, ingest styles in Azure.
+ Orchestration tools, ADF or Airflow.
+ SQL.
+ Denormalized data modeling for large data structures.
**MUST HAVE Competencies**
* Collaborative, able to work remotely, and still be an interesting team member.
* Strong analytical and design skills.
* 7-10 years of experience in architect and design big-scale high-performance distributed systems.
* 7-10 years of experience in SQL Platform.
* 3+ years of experience in No-SQL Platform.
* 3+ years of experience in Spark.
* 3+ years of experience in data platform implementation on Azure or AWS.
* 2+ years of experience in CI/CD experience.
* Exposure to SOA architecture.
**Why Join careerzynith?**
* Competitive salary and benefits package.
* Opportunity to work on a wide range of projects and technologies.
* Collaborative and dynamic work environment.
* Professional development and growth opportunities.
* Flexible work arrangements, including remote work options.
**How to Apply**
If you're a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you!