Data Engineer

Responsibilities:

Design, build, and maintain scalable data pipelines using Databricks, Spark, and cloud-native services

Develop and optimize ETL/ELT workflows for batch and streaming data across AWS and Azure environments

Build and manage data models, data lakes, and warehousing solutions for analytics and AI use cases

Ensure data quality, reliability, and governance across the data lifecycle

Collaborate with data science, analytics, and platform teams to deliver data solutions

Requirements:

5+ years of data engineering experience in cloud environments (AWS and/or Azure)

Hands‑on experience with Databricks, Apache Spark, and Delta Lake

Strong skills in Python / PySpark and SQL

Experience with data pipelines, ETL/ELT, and data modeling

Familiarity with orchestration tools (Airflow or similar) and modern data architectures