Data Engineer

Specialization: Data Processing & Pipelines, Internal & Client Focus

Stack: Python, SQL, Apache Airflow, Spark, ETL/ELT Tools, Cloud Data Warehouses (BigQuery, Redshift)

Role Summary: Design and maintain robust data pipelines for timely, accurate delivery of datasets for internal and client use cases.

Key Responsibilities

• Build and manage ETL/ELT data pipelines.
• Integrate diverse data sources into centralized repositories.
• Optimize database performance and ensure data quality.
• Collaborate with AI/ML teams to provide clean, usable datasets.
  
  

Experience Requirements

• 2–3+ years in data engineering or related roles.
• Proficiency in SQL and Python.
• Understanding data modeling and pipeline orchestration tools.
  
  

Preferred

• Experience with real-time data streaming frameworks (Kafka, Flink).
• Familiarity with cloud and on-premises data environments.