Data Engineer

Our dynamic Data Engineering team specializes in managing real-time data streams and supporting multiple service APIs related to business activities, to ensure seamless data flow within our systems. We are dedicated to optimizing data pipelines and enhancing data processing capabilities to meet the demands of our fast-paced environment. In addition to our core responsibilities, we pride ourselves on our ability to handle production issues effectively, even during off-hours and weekends. Our team operates with an on-call rotation to swiftly address any critical issues that may arise, ensuring the continuous smooth operation of our data infrastructure. We are seeking a talented Mid-Level Data Engineer to join our team and contribute to developing and maintaining our data streaming processes. In this role, you will play a key part in enhancing our real-time data processing capabilities and ensuring the smooth operation of our streaming pipelines. Additionally, you will be responsible for supporting production systems and participating in on-call rotations to address any critical issues that may arise. Excellent communication skills and the ability to collaborate effectively within a team environment.

• Manage real-time data streams and support multiple service APIs.
• Optimize data pipelines and enhance data processing capabilities.
• Handle production issues effectively, including during off-hours and weekends.
• Operate with an on-call rotation to address critical issues.
• Contribute to developing and maintaining data streaming processes.
• Enhance real-time data processing capabilities.
• Ensure the smooth operation of streaming pipelines.
• Support production systems.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering and/or related fields.
• Proficiency in programming languages such as Python, Java, or Scala.
• Basic understanding of data processing frameworks like Apache Flink , Spark , Beam .
• Strong problem-solving skills and the ability to troubleshoot and resolve technical issues efficiently.
• Experience with data pipeline orchestration tools such as Apache Airflow or Luigi. Is advantage
• Knowledge of SQL and database technologies (e.g., MySQL, PostgreSQL, or NoSQL databases).
• Familiarity with cloud services such as AWS, GCP, or Azure Is advantage
• Collaborative Team Player: Works well within a team environment, communicates effectively, and collaborates with colleagues to achieve common goals.
• Adaptability: Shows a willingness to adapt to new technologies, processes, and challenges in a fast-paced and evolving data engineering landscape.
• Attention to Detail: Pays close attention to detail in data processing and pipeline development to ensure accuracy and reliability in the systems.
• Ownership and Accountability: Takes ownership of tasks and projects, demonstrating a high level of accountability for the quality and outcomes of their work.
• Continuous Learner: Displays a mindset of continuous learning and improvement, staying updated on industry trends and technologies to enhance skills and knowledge.
• Resilience: Maintains composure under pressure, handles challenging situations with resilience, and adapts to changing priorities effectively.

• Hybrid work model
• Free parking in the building + free electric car charging
• Broad collective health insurance (with options for family members and extensions)
• Birthday gift + day off during your birthday month
• Refer a friend – bonus or gift card
• HitechZone membership
• Gifts on holidays and life events
• Ten Bis