Data Engineer at Dreamix Ltd.

, , Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, ETL Processes, Data Warehousing, Cloud Platforms, Azure, AWS, Power BI, Data Visualization, Problem Solving, Communication Skills, Big Data Technologies, Docker, Kubernetes, CI/CD Pipelines, MLOps

Industry

Software Development

Description

Dreаmix was founded 19 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies. We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development. At Dreamix, we are actively seeking a talented Data Engineer to join our team. We are on the lookout for an individual with a robust skill set in data engineering. If you are passionate about creating seamless data solutions, thrive in a collaborative environment, and are eager to contribute to the success of our data-driven initiatives, we invite you to apply. 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 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 Qualifications: 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 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 Nice to have: Experience with big data technologies such as Apache Spark 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 What you will get: 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 If you find the mentioned above interesting, send us your CV! Only shortlisted candidates will be contacted. The confidentiality of all applications is assured! By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.

Responsibilities

The Data Engineer will design, develop, and maintain scalable data pipelines while collaborating with various stakeholders to ensure data integrity and quality. They will also implement ETL processes and troubleshoot data-related issues to optimize data workflows.