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Junior Data Engineer

2 months ago

Trenton, United States Remotely Full time

This is a remote position.

Junior Data Engineer - (US/Canada, 1 year experience, remote)

Team Remotely Inc. is a staffing and recruitment agency that offers a comprehensive solution for talent acquisition, including sourcing, vetting, pay rolling, and managing talent. Whether you need a contract staffing, direct hire, direct sourcing, talent pools, or diversity initiatives, our model can support your hiring strategy.

Client's location: New Jersey, NJ

Hiring Type: Full-Time

Base Salary: $68K-$78K Per Annum.

How to Apply: Please visit teamremotely.com to learn more & apply with your resume and cover letter.

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 Healths 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 modelling: 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 analyse large volumes of data efficiently
Implement data security measures to protect sensitive information and ensure compliance with data and privacy regulations
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

Bachelors degree in Computer Science, Information Technology, or related field, or equivalent working experience

Special Benefits you will love:

Flexible vacation paid unlimited holidays and paid sick days

401(k) with up to 2% employer match

Health, vision, and dental insurance

Why work with Team Remotely?

Team Remotely Inc. is a staffing platform offering a seamless experience for employers and candidates. Employers can post job openings and specify their requirements, while candidates can create profiles and upload resumes.

The team of Team Remotely continuously learns and adapts based on previous successful placements, constantly improving its matching capabilities. This ensures that the recommendations provided by Team Remotely are tailored and accurate, increasing the likelihood of a successful match between employers and candidates. By providing intelligent and data-driven solutions, they strive to enhance the efficiency and effectiveness of the hiring process, ultimately helping companies find the best talent and individuals find their dream jobs.

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