Description

You will design, build, and maintain scalable data pipelines for ingestion, transformation, and integration across cloud and on-premise infrastructure.

This role is on-site.

Responsibilities

• Design and develop reliable data pipelines for multi-source integration.
• Optimize data storage, retrieval, and processing efficiency.
• Implement data validation, cleansing, and monitoring to ensure accuracy.
• Collaborate with data science and analytics teams to deliver accessible datasets.
• Maintain comprehensive documentation for data processes and standards.

Required Skills

• 7+ years of data engineering experience building large-scale pipelines.
• Proficiency in SQL, Python, and/or Scala.
• Experience with data processing frameworks like Spark or Hadoop.
• Knowledge of cloud platforms (AWS, GCP, or Azure).
• Understanding of data modeling, warehousing concepts, and architecture best practices.
• Strong problem-solving skills with attention to detail regarding data quality and consistency.

Preferred Skills

• Experience working in complex, fast-paced environments.
• Ability to adapt to new tools and methodologies.

Key Skills

Education

Any Graduate