Experienced Full Stack Data Engineer – Business Intelligence and Analytics Solutions
Are you a highly motivated and detail-oriented individual with a passion for data engineering and business intelligence? Do you thrive in fast-paced environments and enjoy working with ambiguity and complex business contexts? If so, we invite you to join careerzynith, a leading organization in the industry, as a Full Stack Data Engineer – Business Intelligence and Analytics Solutions. At careerzynith, we are committed to delivering exceptional results and driving business growth through innovative data solutions. Our team of experts is dedicated to helping the worldwide Accounting agency with automation, improvements, and enhancing the capacity of the accounting agency to manner, analyze, get right of entry to and eat correct and well-timed economic facts. We partner with various engineering groups to become aware of and scope the proper facts structure and era for use to facilitate the evaluation of maximum not unusual place Amazon purchaser behavioral questions.
Job Responsibilities:
As a Full Stack Data Engineer – Business Intelligence and Analytics Solutions, you will be responsible for:
- Working with stakeholders and different engineering groups to become aware of and scope the proper facts structure and era for use to facilitate the evaluation of maximum not unusual place Amazon purchaser behavioral questions.
- Partnering with associate engineering groups to beautify facts infrastructure, facts availability, and extensive get right of entry to purchaser insights made to be had through BI gear throughout the agency.
- Design, construct and put in force the proper ETL methods with the use of AWS and comparable technology.
- Implement anomaly detection structures to have a proactive technique to any ability facts first-rate issues, the use of enterprise popular frameworks.
- Enable big-scale analytics with the use of EMR and different huge facts technology.
- Establishing and imposing era high-satisfactory practices that need to be accompanied throughout the agency.
- Work on evidence of principles for adoption of the latest era and gear.
Essential Qualifications:
* 3+ years of facts engineering experience
- Experience with facts modeling, warehousing and constructing ETL pipelines
- Experience with SQL
- Experience with one or greater question language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or greater scripting languages (e.g., Python, KornShell)
Preferred Qualifications:
* Experience with huge facts technology such as: Hadoop, Hive, Spark, EMR
- Experience with huge facts processing era (e.g., Hadoop or ApacheSpark), facts warehouse technical structure, infrastructure components, ETL, and reporting/analytic gear and environments
Benefits:
As an careerzynith employee, you will enjoy a comprehensive benefits package that includes:
- Competitive salary
- Comprehensive health insurance plan
- 401(k) plan with company match
- Paid time off and holidays
- Employee discount program
- Access to our Employee Assistance Program
- Opportunities for professional growth and development
Work Environment and Company Culture:
At careerzynith, we value diversity, equity, and inclusion. We strive to create a work environment that is inclusive and supportive of all employees. Our company culture is built on the principles of collaboration, innovation, and excellence. We are committed to delivering exceptional results and driving business growth through innovative data solutions.
How to Apply:
If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! Please submit your resume and cover letter to our online application portal. We are excited to review your application and look forward to hearing from you. Apply for this job