Data Engineer

Job Description

We are seeking a skilled Data Engineer with a passion for data architecture and analytics. You will play a crucial role in transforming raw data into actionable insights, enabling our teams to make informed decisions. The ideal candidate possesses a strong understanding of ETL processes and data warehousing concepts, and is experienced in SQL and Python programming.

Responsibilities

• Design and implement robust data pipelines for ETL processes.
• Collaborate with data scientists and analysts to understand data needs.
• Ensure data quality and availability for analysis and reporting.
• Monitor and optimize data flows to improve performance and efficiency.
• Develop data models to support business intelligence projects.
• Implement data governance best practices.
• Assist in migrating data to cloud-based platforms.
• Document data workflows and architecture.
• Participate in code reviews and contribute to best practices in data engineering.
• Stay up-to-date with emerging technologies and industry trends.

Requirements

Education

• Master's degree in Data Science, Computer Science, or related field
• Bachelor's degree in a relevant field

Experience

• 5+ years of experience in data engineering

Technical Skills

• NoSQL Databases
• Data Warehousing

Soft Skills

• Leadership
• Negotiation

Languages

• English: Fluent

Advantageous

• Experience with Apache Spark: Hands-on experience with big data processing frameworks.
• Familiarity with data science methodologies: Knowledge of data science techniques and methodologies.

Benefits

• Health, dental, and vision insurance
• Generous leave policy
• Flexible working hours and remote work options
• Professional development opportunities

Company Culture

• Innovation: We prioritize creativity and encourage fresh ideas within our team.
• Diversity and Inclusion: We value diverse perspectives and promote inclusiveness in our workplace.
• Continuous Improvement: We foster a culture of continuous learning and improvement for all employees.