Data Engineer

Bazeta; United States; Remote; USD 11,000 - 18,000; Full time

Job summary

Get My Course is seeking a Data Engineer for a fully remote role. You will design, build, and maintain scalable data pipelines using Azure Synapse Analytics and Azure Data Factory, collaborating with stakeholders to define data requirements and support large-scale analytics.

Requirements include a Bachelor's degree in a related field and at least 3 years in data engineering with Azure data services, SQL, Python, and ETL.

Qualifications

• Bachelor’s degree in computer science, engineering, mathematics, or a related field
• Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory.
• Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting.
• Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures.
• Collaborate with data scientists and analysts to support data modelling, analysis, and machine learning projects.
• Monitor and optimize performance of data pipelines and databases.

Skills

SQL

Python

ETL

Education

Bachelor’s degree in CS/Engineering/Math or related field

Tools

Azure Synapse Analytics

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Job description

# Data EngineerUnited States7 hours agoID 3187421$60,000 Salary## DetailsEmployment type: Full-timeRemote: YesSalary from: 60,000Salary to: 100,000Company: Get My Course## DescriptionThis is a remote position. Job title: Data Engineer Schedule: Full time; 40 hours per week; Monday to Friday Rate: 60,000 - 100,000 Philippine Pesos per month We are seeking a highly skilled and experienced Data Engineer to join our Data Engineering team. The ideal candidate will have a strong foundation in data processing and analytics, with specific expertise in Microsoft Azure's Synapse Analytics and Azure Data Factory. You will play a crucial role in developing and optimizing our data pipeline architecture, as well as managing and improving data flow and collection for cross-functional teams. Responsibilities: • Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory. • Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting. • Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures. • Collaborate with data scientists and analysts to support data modelling, analysis, and machine learning projects. • Monitor and optimize performance of data pipelines and databases. Requirements • Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education) • Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory. • Proven expertise in SQL, Python, and other scripting languages. • Experience with data modeling, ETL processes, and data warehousing principles. • Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus. • Strong analytical and problem-solving skills, with the ability to work independently and as part of a team. • Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders. • PowerBI experience is also advantageous. Benefits • Permanent work from home • AU morning shift • Fun and engaging culture Originally posted on Himalayas