Data Engineer

Datascience

Responsibilities:

• Design, develop, and maintain scalable data pipelines.
• Build and manage data warehouses and data lakes.
• Implement data quality and data governance best practices.
• Work with data scientists and analysts to support their research and development projects.
• Collaborate with other engineers to build and maintain our data infrastructure.br> br> br>

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field
• 3-5 years of experience in Data Warehousing and Data Integration projects, with exposure to ETL processes, data pipelines, and data quality management.br> /li>
• practical experience working within large scale data environments and demonstrate strong analytical and problem-solving capabilities.
• Hands-on experience in SAS, including development and optimization of SAS programs.
• Strong programming skills in Python, Java, or Scala
• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
• Experience with database systems such as SQL, PostgreSQL and Cassandra
• Experience with data warehousing and ETL (extract, transform, load) processes
• Excellent problem-solving and analytical skills
• Strong communication and teamwork skillsbr> br> /li>

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