Description

You will design, develop, and maintain large-scale data systems, including data warehouses, data lakes, and pipelines.

This role is hybrid.

Responsibilities

• Design and implement scalable data architectures, pipelines, and warehouse systems.
• Collaborate with data scientists and analysts to translate business requirements into technical solutions.
• Maintain data quality and integrity through data governance policies.
• Create and maintain technical documentation for all data systems.
• Provide technical leadership and guidance to junior engineers.

Required Skills

• 6+ years of experience in data engineering or a related field.
• Proficiency in Python, Java, or Scala.
• Hands-on experience with Spark and Airflow.
• Experience with AWS and AWS Glue.
• Strong knowledge of Big Data technologies, including Hadoop and NoSQL databases.
• Experience with ETL tools such as Informatica or Talend.
• Solid understanding of data modeling and data architecture principles.
• Any Graduate degree.

Key Skills

Education

Any Graduate