Description

You will design and implement large-scale data pipelines and integration workflows across structured and unstructured datasets.

This role is on-site.

Responsibilities

• Architect and build ETL/ELT processes for data ingestion, transformation, and delivery.
• Develop and manage data lakes, data warehouses, and analytics platforms using cloud technologies.
• Own production deployment, monitoring, debugging, and performance tuning for data pipelines.
• Design data warehouse and lakehouse models using Kimball or star schema methodologies.

Required Skills

• 12+ years of experience in Data Engineering or Data Architecture.
• Strong programming skills in Python, Java, or Scala.
• Expert proficiency in SQL and performance tuning for large datasets.
• Hands-on experience with Big Data ecosystems: Hadoop, Spark, Kafka, and Hive.
• Strong experience with Cloud platforms (AWS, Azure, or GCP).
• Proficiency in CI/CD, Git, Docker, and Airflow or similar orchestration tools.
• Knowledge of data governance, security, and data quality frameworks.

Preferred Skills

• Bachelor's or Master's degree in a relevant technical field.
• Experience maintaining job tenure of approximately 3 years in previous roles.

Key Skills

Education

Bachelor's or Master's degrees