Sky Systems, Inc. (SkySys) · nan, · Hybrid
About the job
Role: Data Engineer
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: Long Term
Work Hours: US Time Zone (EST)
Work Schedule: 8 hours/day (Mon-Fri)
Location: 100% Remote
Responsibilities And Required Skills
As a data engineer, your main responsibilities will involve designing, implementing, and maintaining data pipelines to extract, transform, and load data from various sources into a centralized data warehouse. You will work closely with data scientists and analysts to ensure that the data is clean, accurate, and ready for analysis.
To achieve this, you will need to have a strong understanding of Python scripting for data manipulation and transformation, as well as experience working with REST APIs to extract data from external sources. You will also need to be proficient in using Power Shell to automate tasks and manage workflows within the Microsoft ecosystem.
In addition, you will be responsible for data cleansing and data modeling tasks to ensure that the data is structured in a way that is conducive to analysis and reporting. This will involve identifying and resolving data quality issues, as well as designing and optimizing data models to support the needs of the business.
Overall, as a data engineer working within the Microsoft ecosystem, your role will be crucial in ensuring that the organization's data is accurate, reliable, and readily available for decision-making purposes.
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: Long Term
Work Hours: US Time Zone (EST)
Work Schedule: 8 hours/day (Mon-Fri)
Location: 100% Remote
Responsibilities And Required Skills
As a data engineer, your main responsibilities will involve designing, implementing, and maintaining data pipelines to extract, transform, and load data from various sources into a centralized data warehouse. You will work closely with data scientists and analysts to ensure that the data is clean, accurate, and ready for analysis.
To achieve this, you will need to have a strong understanding of Python scripting for data manipulation and transformation, as well as experience working with REST APIs to extract data from external sources. You will also need to be proficient in using Power Shell to automate tasks and manage workflows within the Microsoft ecosystem.
In addition, you will be responsible for data cleansing and data modeling tasks to ensure that the data is structured in a way that is conducive to analysis and reporting. This will involve identifying and resolving data quality issues, as well as designing and optimizing data models to support the needs of the business.
Overall, as a data engineer working within the Microsoft ecosystem, your role will be crucial in ensuring that the organization's data is accurate, reliable, and readily available for decision-making purposes.
