Databricks Data Engineer — Netezza Migration Lead

Ascendum System Private Limited; Cincinnati (OH); On-site; USD 135,000 - 185,000; Full time

Job summary

Ascendum System Private Limited is seeking a Data Engineer to design, develop, and support enterprise-scale data platforms. This role will lead migration from Netezza to Databricks, building scalable data pipelines and modern analytics capabilities for customer-facing retail operations.

The ideal candidate has 7+ years of data engineering experience, deep Databricks and PySpark skills, and strong SQL/data modeling expertise.

Qualifications

• Bachelor's degree in a related field.
• 7+ years of Data Engineering experience in enterprise environments.
• Strong hands-on experience with Databricks (required).
• Advanced proficiency in PySpark development.
• Experience developing both batch and streaming data pipelines.
• Strong SQL and data modeling expertise.
• Experience implementing data quality frameworks, validation processes, and reconciliation strategies.
• Experience building and maintaining automated testing and integration suites.
• Experience creating and supporting CI/CD pipelines for data platforms.
• Strong understanding of cloud-based data architectures and modern analytics platforms.
• Excellent communication and collaboration skills.

Responsibilities

• Provide migration support from Netezza to Databricks.
• Design, develop, and optimize scalable data pipelines with PySpark.
• Build batch and streaming ingestion frameworks for enterprise data.
• Implement data transformation strategies for modernization.
• Develop and maintain Databricks Lakehouse solutions with Medallion patterns.

Skills

Databricks

PySpark

Data migration

Test automation

CI/CD

Data quality

Medallion architecture

Streaming & batch processing

SQL

Data modeling

Netezza migrations

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Job description

Ascendum System Private Limited is seeking a Data Engineer to design, develop, and support enterprise-scale data platforms. This role will lead migration from Netezza to Databricks, building scalable data pipelines and modern analytics capabilities for customer-facing retail operations.

The ideal candidate has 7+ years of data engineering experience, deep Databricks and PySpark skills, and strong SQL/data modeling expertise.