Cloud Data Engineer

Cloud Data Engineer

We are looking for a motivated Cloud Data Engineer ready to take us to the next level! If you have Databricks expertise and strong SQL/PL-SQL skills and are looking for your next career move, apply now.

Job Description

We are looking for a Cloud Data Engineer to lead the migration and consolidation of data warehouse implementations and design scalable data lake solutions. This position will be Contract and Remote.

What You'll Do

• Analyze and understand existing data warehouse implementations to support migration and consolidation efforts
• Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks
• Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation
• Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks
• Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards
• Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the new platform
• Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability
• Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination
• Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform
• Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming
• Triage, debug, and fix technical issues related to Data Lakes
• Maintain and manage code repositories like Git

What You'll Need

Required:

• 5+ years of experience working with Databricks, including Spark SQL and Delta Lake implementations
• 3+ years of experience in designing and implementing data lake architectures on Databricks
• Strong SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures
• Hands-on experience with data modeling and warehouse design principles
• Proficiency in at least one programming language (Python, Scala, Java)
• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field
• Experience working in Agile environments and contributing to iterative development cycles

Preferred:

• Databricks cloud certification is a big plus
• Exposure to enterprise data governance and metadata management practices

Physical Demands

• Ability to safely and successfully perform the essential job functions
• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

Reasonable Accommodation Statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to View email address on click.appcast.io or View phone number on click.appcast.io.