Data Engineer

Data Engineer (Databricks / Snowflake / Azure)

LOOKING ONLY ON W2

Overview

We are looking for a Data Engineer to design and maintain enterprise data platforms using Databricks, Snowflake, and Azure. You will build scalable ETL/ELT pipelines and manage cloud data warehousing solutions.

Responsibilities

• Design and deploy batch and streaming data pipelines u
• sing Databricks, Snowflake, and Azure Data Factory.
• Write ETL/ELT workflows using Python, PySpark, and advanced SQL for large-scale datasets.
• Manage data lake and warehouse architectures on Azure (ADLS, Synapse), Databricks (Delta Lake, Unity Catalog), and Snowflake.
• Optimize Snowflake query performance, storage, clustering, and partitioning.
• Implement dimensional data models (star/snowflake schemas) and CI/CD pipelines via Git and Azure DevOps.
• Partner with analysts and stakeholders to deliver reliable, production-ready data products.

Requirements

• 3+ years of production data engineering experience.
• Hands-on expertise in Databricks, Snowflake, and Azure.
• Strong proficiency in Python, PySpark, and SQL query optimization.
• Proven background in data modeling, warehousing, and pipeline orchestration (e.g., ADF, Airflow, dbt).
• Experience with Git, CI/CD practices, and basic data governance/security standards.