Cloud Data Engineer

SUMMARY:
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POSITION INFO:

Title: Cloud Data Engineer

Overview: We are seeking a highly skilled Cloud Data Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining data processing systems on cloud platforms. This includes setting up data pipelines, integrating various data sources, and building efficient and scalable data architectures.

Responsibilities:

• Design and implement efficient and scalable data processing systems on cloud platforms such as AWS, Azure, or GCP.
• Build and maintain data pipelines to integrate various data sources, including structured and unstructured data.
• Develop and implement data storage solutions to enable efficient and reliable data access.
• Design and implement ETL workflows to transform and load data into data warehouses and data lakes.
• Collaborate with other teams to ensure data integrity, availability, and security.
• Develop and implement monitoring and alerting systems to ensure the availability and reliability of data processing systems.
• Optimize data processing systems for performance and cost efficiency.
• Stay up-to-date with new cloud technologies and industry trends related to data processing, storage, and security.

Requirements:

• Bachelor's degree in Computer Science, Data Science, or related field.
• At least 3 years of experience in designing and implementing data processing systems on cloud platforms.
• Strong understanding of cloud technologies such as AWS, Azure, or GCP.
• Hands-on experience with data processing frameworks such as Apache Spark, Hadoop, or Flink.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with data storage solutions such as S3, Azure Blob Storage, or Google Cloud Storage.
• Familiarity with data warehousing and data lake architectures.
• Knowledge of ETL and data transformation workflows.
• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with big data technologies such as Apache Kafka, Apache Cassandra, or Apache HBase.
• Experience with containerization technologies such as Docker or Kubernetes.
• Familiarity with data governance and data security practices.
• Knowledge of machine learning and data analytics workflows.

NB! This job is now closed. You can apply for other jobs by uploading your CV.