Description:

We are seeking an experienced Data Engineer to help build and maintain our data infrastructure.
The role involves working at the intersection of data science and software engineering to create scalable systems that transform raw data into valuable business insights.
Key responsibilities include designing, building, and optimizing data pipelines to extract, transform, and load data from multiple sources.
The Data Engineer will develop and maintain data warehouse solutions and ETL processes.
Ensuring data quality, reliability, and accessibility across the organization is a critical part of the role.
The position requires implementing data security measures and ensuring compliance with relevant regulations.
Monitoring and troubleshooting data systems to ensure optimal performance is also a key responsibility.
The Data Engineer will collaborate to implement machine learning models into production systems.

Requirements:

A Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) is required.
Candidates must have 3+ years of experience in data engineering or related roles.
Strong SQL skills and experience with database design are essential.
Proficiency in Python, Java, or similar programming languages is required.
Experience with big data technologies such as Hadoop, Spark, and Kafka is necessary.
Knowledge of cloud platforms (AWS, Azure, or GCP) and their data platforms (like Azure Data Fabric, Redshift, etc.) is required.
Familiarity with data modeling, ETL tools, and data visualization is expected.
Experience building reports and data pipelines for PowerBI is also required.

The position offers the flexibility of a remote work environment.
Employees will have the opportunity to work with cutting-edge technologies and tools in data engineering.
There is potential for professional growth and development within the organization.
The role provides a chance to collaborate with a talented team at the intersection of data science and software engineering.