Sr. Data Engineer

The Senior Data Engineer will have deep hands-on experience in data engineering concepts and will work extensively with AWS and GCP.

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists and analysts to understand data requirements.
• Optimize data architecture for performance and cost-efficiency.
• Implement data governance and security measures.
• Provide technical guidance and mentorship to junior data engineers.
• Ensure data quality and reliability across the organization.

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 4+ years of experience in data engineering.
• Strong proficiency in AWS and GCP cloud services.
• Over 1-2 years of hands-on experience in a programming language such as Python, Java, or Scala.
• Database Skills: A strong understanding of SQL is essential.
• Big Data Technologies: Proficiency with Hadoop, Hive, Yarn, and Sqoop.
• Data Pipeline & Scheduler Tools: Hands-on experience with Oozie, Airflow, or Nifi.
• Streaming Engines: Knowledge of Kafka, Storm, or Spark Streaming.
• Database and ETL: Experience with any relational database or data warehouse, as well as ETL tools.
• Pipeline Design & Application Development: Practical experience in pipeline design, ETL processes, and application development.
• Ability to work in a dynamic, young environment with intercultural aspects.