Data Engineer Data Platforms-Azure

Job Description

Overview

CTG is seeking to fill a Data Engineer – Data Platforms (Azure) opening for our client in Cincinnati, OH.

Location: Remote for now, may have to relocate to Cincinnati, OH

Duration: 8 months

Duties:

Design and implement scalable data pipelines and architectures on Azure Databricks.

Optimize ETL/ELT workflows to ensure efficiency in data processing, storage, and retrieval.

Utilize Apache Spark, Delta Lake, and Azure-native services to build high-performance data solutions.

Ensure adherence to best practices in data governance, security, and compliance within Azure environments.

Troubleshoot and fine-tune Spark jobs for optimal performance and cost efficiency.

Skills:

Strong proficiency in Azure Databricks and Azure data services (e.g., Data Factory, Data Lake, Synapse).

Expertise in Apache Spark and Delta Lake.

Deep understanding of ETL/ELT processes and data pipeline design.

Solid knowledge of data security, governance, and compliance within cloud environments.

Strong analytical and problem-solving skills with the ability to work in a fast-paced, collaborative environment.

Experience:

Minimum 5 years of experience in data engineering or a similar role.

Hands-on experience with Azure cloud services and distributed data systems.

Proven track record of designing and optimizing scalable data architectures.

Education:

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is preferred.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role.

To Apply:

To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

The expected base salary for this position ranges from $50.00/hour to $120.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.

Full-time

Fully remote