Data Engineer

Summary

Join Dreamix, a company founded 18 years ago by passionate IT students, as a talented Data Engineer. We are looking for an individual with a robust skill set in data engineering who is passionate about creating seamless data solutions and thrives in a collaborative environment. You will design, develop, and maintain scalable data pipelines, collaborate with stakeholders, utilize Python for scripting, implement ETL processes, and troubleshoot data-related issues. The ideal candidate will have at least 4 years of relevant experience, a Bachelor's degree in a related field, and strong proficiency in Python and graph databases. Dreamix offers a supportive work environment, flexible working hours, unlimited home office, professional development opportunities, and additional benefits.

Requirements

• A minimum of 4 years of relevant experience in data engineering
• Bachelor's degree in Computer Science, Information Technology, or a related field
• Strong proficiency in Python for scripting and data processing
• Experience with graph databases for modeling and querying complex data relationships
• Strong understanding of data warehousing concepts and experience with databases like SQL Server, Oracle, or PostgreSQL
• Hands-on experience with cloud platforms such as Azure or AWS, including data services like Azure Data Factory, AWS Glue, or similar
• Proficiency in using Power BI or similar tools to develop data visualizations and reports
• Excellent problem-solving and communication skills
• Ability to work independently and collaboratively in a fast-paced environment
• Fluency in English (written and verbal)
• Demonstrated ability to learn and apply new technologies quickly

Responsibilities

• Design, develop, and maintain scalable data pipelines for processing and analyzing large volumes of data
• Collaborate with developers, analysts, and other stakeholders to understand data requirements, ensuring data integrity and quality
• Utilize Python for scripting and coding tasks related to data processing and analysis
• Understand and implement business rules in Python for data transformation
• Implement ETL processes to integrate data from various sources into data warehouse or data lake solutions
• Troubleshoot and resolve data-related issues, ensuring the reliability and performance of our data infrastructure
• Optimize and tune data workflows for maximum efficiency and scalability
• Leverage experience with graph databases (e.g., Neo4j, Amazon Neptune) to model and analyze complex relationships within data
• Deploy and manage data solutions on cloud platforms such as Azure or AWS, ensuring scalability, security, and cost-effectiveness
• Utilize Power BI or similar tools to create interactive dashboards and reports that provide actionable insights to stakeholders
• Stay updated with the latest industry trends and technologies to continuously improve data engineering practices

Preferred Qualifications

• Experience with big data technologies such as Apache Spark or Hadoop
• Familiarity with containerization and orchestration tools like Docker and Kubernetes
• Experience with CI/CD pipelines and version control systems like Git
• Experience in data engineering for ML solutions and MLOps is an advantage

Benefits

• A warm and supportive work environment where you can reach your full potential
• Flexible working hours that allow you to balance your work and personal life
• Unlimited home office to help you stay productive and focused
• Opportunities for professional development, including certifications and training
• Additional benefits for academic teaching and speaking engagements
• Knowledge-sharing sessions where you can learn from our Dreamix team
• Team and company-wide events that bring us together
• Amazing week long summer office and winter office initiatives
• Additional health insurance and dental allowance to ensure your well-being
• Multisport card to encourage a healthy and active lifestyle
• Office massages to help you relax and unwind