Data Engineer

Company Overview

(No company information provided)

Job Summary

The Data Engineer will be responsible for designing, building, and maintaining data pipelines and architectures that support the organization’s data analytics and business intelligence initiatives. This role is crucial for ensuring the availability, reliability, and performance of data systems that drive data-driven decision-making within the company.

Responsibilities

• Design and implement robust data pipelines using Azure Data Factory and Snowflake.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Monitor and optimize data workflows for performance and reliability.
• Ensure data integrity and security throughout the data lifecycle.
• Troubleshoot and resolve issues in data processing and integration.
• Document data processes and architecture for future reference and compliance.

Qualifications

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience: Minimum of 5 years of experience in data engineering or related roles.
• Technical Skills:
  • Proficiency in Snowflake SQL for data modeling and querying.
  • Experience with Azure Data Factory for building ETL processes.
  • Familiarity with data warehousing concepts and best practices.
  • Knowledge of programming languages such as Python or SQL.
  • Understanding of data integration tools and frameworks.
  • Experience with version control systems (e.g., Git).

Preferred Skills

• Familiarity with cloud platforms other than Azure (e.g., AWS, Google Cloud).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of data governance and data quality best practices.

Experience

• A minimum of 5 years of relevant experience in data engineering or similar roles is required.

Environment

• This position is fully remote, allowing for flexibility in work location and schedule.

Salary

• Salary details are not specified.

Growth Opportunities

(No information provided)

Benefits

(No information provided)