Description

Design, build, and maintain scalable data pipelines and ETL processes to support analytics and business intelligence.

This role is on-site.

Responsibilities

• Design and optimize data models, databases, and data warehouses.
• Collaborate with data scientists and analysts to deliver solutions based on specific data requirements.
• Maintain data quality, integrity, and security across all systems.
• Troubleshoot data-related issues and resolve performance bottlenecks.
• Implement and manage data governance practices and standards.

Required Skills

• 11+ years of experience in data engineering or a related field.
• Expertise in SQL and database technologies including PostgreSQL, MySQL, and NoSQL.
• Proficiency with data processing frameworks such as Apache Spark or Hadoop.
• Experience with cloud platforms including AWS, Azure, or Google Cloud.
• Experience with data warehousing solutions such as Redshift or BigQuery.
• Strong programming skills in Python, Java, or Scala.
• Hands-on experience with data integration tools and ETL processes.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Experience with Redshift or BigQuery.

Key Skills

Education

Any Graduate