Description

You will build and maintain scalable data architectures and ETL/ELT pipelines to support downstream analytics and machine learning.

Responsibilities

• Design and develop ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources.
• Build and maintain scalable data architectures including data lakes and data warehouses.
• Optimize data storage, query performance, and system reliability.
• Implement data validation, monitoring, and quality checks to ensure accuracy and consistency.
• Automate manual processes and data workflows to improve operational productivity.

Required Skills

• 5+ years of experience in data engineering or a similar role.
• Proficiency in SQL.
• Programming experience in Python, Java, or Scala.
• Hands-on experience with Apache Airflow, dbt, Spark, or Kafka.
• Experience with cloud platforms such as AWS or GCP.
• Strong understanding of data modeling, schema design, and performance optimization.
• Ability to translate stakeholder requirements into technical data solutions.
• Experience integrating data systems with applications and services.

Key Skills

Education

Any Graduate