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# Azure Cloud Data Engineer

- **Company:** Databricks
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Sql Data Warehouse, Airflow, Data Analysis, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Database, Code Review, Computer Programming, Data Integration, Extract Transform Load (ETL), Data Warehousing, Database Queries, Python (Programming Language), Microsoft SQL Server, Online Analytical Processing, Online Transaction Processing, Standard Sql, Reverse Engineering, SQL Stored Procedures, Unstructured Data, Data Processing, Data Storage Management, Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Data Lakes, Pyspark, Information Technology, Data Management, Video Streaming, Data Pipelines, Amazon Redshift, Databricks
- **Published:** November 2, 2026
- **Apply:** https://www.dice.com/job-detail/7eef5593-ae79-40f1-be18-6621d13e5adc

## About the Role

* 5+ years Python coding experience.
 * 5+ years - SQL Server based development of large datasets
 * 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
 * Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
 * Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
 * Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
 * Experience with Cloud based data architectures, messaging, and analytics.
 * Cloud certification(s).
 * Any experience with Airflow is a Plus.

Education - * Minimally a BA degree within an engineering and/or computer science discipline

 * Master's degree strongly preferred

## Description

The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azure cloud platforms. This role involves working with large datasets, optimizing data workflows, and ensuring secure, efficient data storage and processing in cloud environments.

Major Responsibilities:

 * Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
 * Design, develop, and deploy Spark program in data bricks environment to process and analyze large volumes of data.
 * Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
 * Proficient in developing programs in Python and SQL
 * Experience with Data warehouse Dimensional data modeling.
 * Working with event based/streaming technologies to ingest and process data.
 * Working with structured, semi structured and unstructured data.
 * Optimize Databricks jobs for performance and scalability to handle big data workloads.
 * Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.
 * Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.
 * Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
 * Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.