Description

You will design, develop, and maintain the data architecture and infrastructure required for large-scale data processing.

This role is on-site.

Responsibilities

• Design and implement ETL processes and data pipelines to extract, transform, and load data from various sources.
• Develop and maintain databases, data warehouses, and data lakes.
• Build and optimize data models and data pipeline architectures.
• Collaborate with data scientists to translate algorithms into production systems.
• Mentor junior team members and document technical solutions.

Required Skills

• 5+ years of experience in a Data Engineer or similar role.
• Proficiency in Python, SQL, or Java.
• Hands-on experience with cloud platforms including AWS, Azure, or GCP.
• Strong expertise in ETL, data modeling, and database design.
• Experience with Big Data technologies such as Hadoop.
• Knowledge of data warehousing concepts and pipeline orchestration.
• Understanding of data governance and security principles.
• Any Graduate degree.

Preferred Skills

• Experience implementing and managing machine learning pipelines.
• Relevant certifications in data engineering or cloud technologies.

Key Skills

Education

Any Graduate