Junior Data Engineer - Houston, United States - Remotely

Remotely Houston, United States

2 weeks ago

Description

This is a remote position.

Junior Data Engineer (1 year experience, remote)

Be part of our future This job posting builds our talent pool for potential future openings. We'll compare your skills and experience against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, and we only consider applications from US/Canada residents during the application process.

Hiring Type:
Full-Time

Base Salary:
$61K-$71K Per Annum.

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

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