Data Engineer – Big Data, ETL, and Cloud Pipeline Specialist

Role Overview: We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure for analytical and operational use.

Key Responsibilities:

• Build and optimize ETL processes to ingest, transform, and store large datasets from diverse sources.
• Manage and enhance cloud-based data warehousing and lake solutions (e.g., AWS, Azure, GCP).
• Ensure data quality, integrity, and security across all pipelines.
• Collaborate with data scientists and analysts to support data-driven initiatives.

Requirements:

• Proficiency in SQL and at least one programming language (Python, Java, Scala).
• Hands-on experience with big data technologies (Spark, Hadoop, Kafka, Airflow).
• Strong understanding of data modeling, ETL design, and data governance.