Description

Job Description:

  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of data streaming technologies (e.g., Apache Kafka, Apache Flink).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience with version control systems (e.g., Git).
  • Relevant certifications in data engineering or cloud platforms are a plus.


Qualifications:

  • Bachelor's or Master's degree in computer science, information technology, or a related field.
  • Proven experience as a Data Engineer or similar role, including experience with ETL processes, data integration, and data modeling.
  • Proficiency in programming languages like Python, Java, or Scala.
  • Strong SQL skills for data manipulation and querying.
  • Knowledge of database systems, data warehousing concepts, and data modeling techniques.
  • Experience with data integration tools and frameworks (e.g., Apache NiFi, Talend, Apache Beam).
  • Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills

Education

Bachelor’s or Master’s degree