About Datorios:

Datorios is a cutting-edge technology company specializing in stream processing solutions that empower organizations to harness the power of real-time data. Our innovative platform enables clients to process and analyse data streams efficiently and effectively, driving better decision-making and enhancing their competitive edge. We are seeking a Senior Data Engineer with extensive experience in Apache Flink to join our dynamic team and help us deliver top-tier stream processing solutions to our clients.

Job Description:

Datorios is seeking a highly skilled and experienced Senior Data Engineer with deep expertise in Apache Flink to join our stream processing team. As a Senior Data Engineer at Datorios, you will play a pivotal role in designing, developing, and optimizing real-time data processing engine of Datorios using Flink, ensuring our clients can harness the power of their streaming data for actionable insights.

Responsibilities:

• Collaborate with cross-functional teams to understand and define data processing requirements for various clients.
• Design, develop, test, and maintain real-time data processing pipelines using Apache Flink.
• Optimize and fine-tune Flink applications for performance, scalability, and reliability.
• Troubleshoot and resolve data pipeline issues in a timely manner.
• Monitor and manage the health and performance of Flink clusters and data processing workflows.
• Stay up-to-date with the latest developments in Apache Flink and streaming data technologies to drive innovation within the organization.

Qualifications:

• Bachelor's or higher degree in Computer Science, Data Engineering, or a related field.
• Proven experience as a Data Engineer with a strong focus on stream processing using Apache Flink.
• Solid understanding of distributed data processing concepts and frameworks.
• Proficiency in programming languages like Java / Scala or PyFlink.
• Experience with stream processing tools and technologies such as Apache Kafka, Apache Beam, or Apache Spark Streaming is a plus.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is desirable.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent communication and teamwork skills.
• A passion for staying up-to-date with emerging trends and technologies in the data engineering and stream processing space.

Why Datorios:

• Be part of an innovative and dynamic team at the forefront of stream processing technology.
• Opportunity to work on challenging and impactful projects for leading organizations.
• Competitive compensation package and benefits.
• Access to continuous learning and professional development opportunities.
• A collaborative and inclusive work environment that values diversity and creativity.

If you are a seasoned Data Engineer with a passion for stream processing and Apache Flink, and you are eager to make a significant impact in a forward-thinking company like Datorios, we encourage you to apply and be a part of our journey to revolutionizing the world of real-time data processing.