Description

Lead the design, development, and deployment of scalable data solutions. This role is on-site.

Responsibilities

• Build and enhance ELT pipelines from scratch.
• Own the end-to-end lifecycle of data solution architecture and deployment.
• Develop data streaming pipelines using Kafka or similar tools.
• Solve complex data challenges within big data environments.

Required Skills

• 8-12 years of experience in Data Engineering.
• Expertise in Python, PySpark, and SQL.
• Hands-on experience with the Hadoop ecosystem.
• Experience building data streaming pipelines with Kafka.
• Proficiency in Azure Synapse, ADLS, ADF, and Databricks.

Preferred Skills

• Experience with AWS or Snowflake.

Key Skills

Education

Bachelor's degree in Computer Science