Description

You will build and maintain scalable data pipelines and infrastructure to support large-scale data processing.

Responsibilities

• Design, develop, and maintain ETL processes to ingest and transform structured and unstructured data.
• Collaborate with cross-functional teams to design data architectures and implement business-driven solutions.
• Implement data quality and validation processes to ensure data accuracy and reliability.
• Troubleshoot, configure, and upgrade existing data systems and infrastructure.
• Document data pipelines, processes, and system architectures.

Required Skills

• Bachelor's or Master's degree in Computer Science.
• Proficiency in SQL and experience with relational databases including PostgreSQL, MySQL, or SQL Server.
• Strong programming skills in Python, Java, or Scala.
• Familiarity with cloud platforms such as AWS or Azure.
• Experience in data engineering or related roles.
• Strong problem-solving skills and attention to detail.

Preferred Skills

• Experience with big data technologies like Hadoop, Spark, or Apache Beam.
• Familiarity with Google Cloud Platform.

Key Skills

Education

Bachelor's or Master's degree in Computer Science