Description

Design, build, and maintain scalable data pipelines and architectures while optimizing performance and ensuring data security.

This role is on-site.

Responsibilities

• Design and implement reliable data pipelines and architectures.
• Build and maintain data warehouses and data marts.
• Optimize pipeline performance and system efficiency.
• Implement data security and governance measures.
• Monitor systems and troubleshoot issues.

Required Skills

• 8+ years of experience in a data engineering role.
• Expertise in SQL and Python.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Hands-on experience with big data technologies like Hadoop, Spark, and Kafka.
• Proficiency with data warehousing tools such as Snowflake, Redshift, or BigQuery.
• Knowledge of data security and governance best practices.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with machine learning and deep learning.
• Experience with data visualization tools like Tableau or Power BI.

Key Skills

Education

Any Graduate