Data Engineer

Job Description

Join our innovative team as a Data Engineer, where you will work on high-impact projects that enhance our data-driven decision-making. This role focuses on data extraction, transformation, and loading (ETL) processes, ensuring our data remains pivotal to our operations.

Responsibilities

• Build and maintain robust ETL processes for data ingestion and cleansing.
• Conduct regular performance analysis of data systems and suggest enhancements.
• Engage with stakeholders to identify and prioritize data needs and solutions.
• Analyze and enhance data architecture for ongoing data initiatives.
• Provide automated solutions for operational reporting and data flow management.

Requirements

Education

• Master's degree in Data Science, Computer Science, or relevant field is preferred

Experience

• 5+ years of experience in building data pipelines and ETL processes

Technical Skills

• Apache Spark
• NoSQL databases

Soft Skills

• Problem Solving
• Teamwork

Certifications

• AWS Data Analytics Certification
• Microsoft Certified: Azure Data Engineer Associate

Languages

• English: Fluent

Advantageous

• Experience with machine learning frameworks: Basic knowledge of machine learning algorithms and tools.
• Proficiency in Java: Skillful in Java for augmenting data processing capabilities.

Benefits

• Performance bonuses based on company targets
• Flexible working conditions
• Professional development opportunities
• Work-life balance initiatives

Company Culture

• Continuous Improvement: We prioritize ongoing learning and professional growth within our teams.
• Respect and Trust: Our workspace is built on mutual respect and trust among colleagues.
• Empowerment: We empower individuals within our organization to make impactful decisions.