Senior Data Engineer

Summary

Join Dreamix, a company founded 19 years ago by passionate IT students, as a Senior Data Engineer. We deliver software solutions for renowned companies globally and are seeking a talented individual with a robust skill set in data engineering. You will design, develop, and maintain scalable data pipelines, collaborate with data scientists and stakeholders, and utilize your Python expertise for data processing and analysis. The ideal candidate will have at least 5 years of relevant experience, a Bachelor's degree in a related field, and strong proficiency in Python and big data technologies. Dreamix offers a supportive work environment, flexible hours, unlimited home office, professional development opportunities, and additional benefits like health insurance and a multisport card.

Requirements

• A minimum of 5 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
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and their data services
• Experience in designing and implementing efficient database schemas
• Strong understanding of data warehousing concepts and experience with databases like SQL Server, Oracle, or PostgreSQL
• Solid understanding of data modeling, database design, and data warehousing concepts
• Excellent problem-solving and communication skills
• Ability to work independently and collaboratively in a fast-paced environment

Responsibilities

• Design, develop, and maintain scalable data pipelines for processing and analyzing large volumes of data
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data integrity and quality
• Utilize your expertise in 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
• Optimize big data storage and processing
• Troubleshoot and resolve data-related issues, ensuring the reliability and performance of our data infrastructure
• Follow emerging trends and technologies in the data engineering space and make recommendations for continuous improvement
• Optimize and tune data workflows for maximum efficiency and scalability
• Implement data security best practices to protect sensitive information and ensure compliance with data protection regulations
• Develop and maintain API integrations to facilitate seamless data exchange between systems and applications

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