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Hybrid Junior Data Engineer

Dexian Inc  ·  nan, · Hybrid

About the job

F1-OPT Junior Data Engineer (1 year experience, remote – US/Canada Only)

  • F1-OPT visa holders only**

Annual Salary: $65,000 to $80,000

About EPCVIP:

We specialize in lead generation within the Financial Services Industry. Are are experts at PPC traffic, search engine, display and email marketing has propelled us to the forefront of the lead generation industry. We have developed a customizable optimization platform, allowing us to yield the highest EPCs in the industry. The key to our success is attributed to our talented employees and superior proprietary technology.

Position Summary

Join the fast-paced, innovative, and collaborative environment focused on providing an AIOps platform that enhances the intelligence of the CVS Health infrastructure. Work closely with subject matter experts and colleagues to build and scale out machine learning and AI solutions that will detect, predict, and recommend solutions to correct issues before system impact and enhance the efficiency, reliability, and performance of CVS Health’s IT operations.

Key Responsibilities include:

  • Data pipeline development: Designed, implemented, and managed data pipelines for extracting, transforming, and loading data from various sources into data lakes for processing, analytics, and correlation.
  • Data modeling: Create and maintain data models ensuring data quality, scalability, and efficiency
  • Develop and automate processes to clean, transform, and prepare data for analytics, ensuring data accuracy and consistency
  • Data Integration: Integrate data from disparate sources, both structured and unstructured to provide a unified view of key infrastructure platform and application data
  • Utilize big data technologies such as Kafka to process and analyze large volumes of data efficiently
  • Implement data security measures to protect sensitive information and ensure compliance with data and privacy regulation
  • Create/maintain documentation for data processes, data flows, and system configurations
  • Performance Optimization- Monitor and optimize data pipelines and systems for performance, scalability and cost-effectiveness

Characteristics of this role:

  • Team Player: Willing to teach, share knowledge, and work with others to make the team successful.
  • Communication: Exceptional verbal, written, organizational, presentation, and communication skills.
  • Creativity: Ability to take written and verbal requirements and come up with other innovative ideas.
  • Attention to detail: Systematically and accurately research future solutions and current problems.
  • Strong work ethic: The innate drive to do work extremely well.
  • Passion: A drive to deliver better products and services than expected to customers.

Required Qualifications

  • 2+ years of programming experience in languages such as Python, Java, SQL
  • 2+ years of experience with ETL tools and database management (relational, non-relational)
  • 2+ years of experience in data modeling techniques and tools to design efficient scalable data structures
  • Skills in data quality assessment, data cleansing, and data validation

Preferred Qualifications

  • Knowledge of big data technologies and cloud platforms
  • Experience with technologies like PySpark, Databricks, and Azure Synapse.

Education

Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent working experience

AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER

We are an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, criminal history, genetic information or any of the protected classes.We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.

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