Cloud Data Engineer

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5-7 years of experience in data engineering, with a proven track record of designing and implementing scalable data solutions.
• Proficiency in programming languages such as Python, Java, or Scala. Experience with SQL and scripting languages.
• Strong expertise in data warehousing concepts, ETL processes, and database technologies (e.g., SQL, NoSQL, columnar databases).

· Hands-on experience with big data processing frameworks and tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Flink. Familiarity with distributed computing concepts is necessary for handling large-scale datasets.

· Knowledge of data warehousing concepts and experience with tools like Amazon Redshift, Google BigQuery, or Snowflake for building and managing data warehouses.

• Hands-on experience with cloud platforms and services (e.g., AWS, Azure, GCP). Certification in cloud technologies is a plus.
• Knowledge on containerization facilitates like Docker, Kubernetes, DevOps practices such as continuous integration, continuous deployment (CI/CD), and infrastructure as code (IaC), enabling automated testing, deployment, and management of data engineering pipelines.
• Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.
• Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.