Senior Data Engineer: ETL & Data Pipeline Lead

Mphasis; North Carolina; On-site; USD 81,000 - 158,000; Full time

Job summary

Mphasis is seeking a Senior Data Engineer to lead the development of scalable ETL pipelines and data operations within an onsite US NC setting. You will drive data integrity, leverage AWS Glue, PySpark, Iceberg, S3, IAM and Secrets Manager, and mentor a team of engineers to deliver enterprise-grade analytics platforms.

Your responsibilities include translating complex data challenges for senior stakeholders, validating synthetic datasets, and applying advanced analytics and generative AI to

Qualifications

• 10+ years of data engineering experience in senior role.
• Bachelor’s degree in CS/IT/engineering or related.
• Insurance domain experience preferred.

Responsibilities

• Lead the development of robust data pipelines.
• Analyze source systems to create synthetic datasets.
• Ensure industry best practices are followed.
• Leverage generative AI to enhance data analysis and testing.
• Collaborate with leaders and stakeholders to address challenges.

Skills

Data pipelines

ETL processes

AWS ecosystem

Generative AI

Mentorship

Stakeholder communication

Education

Bachelor’s degree

Tools

AWS Glue

PySpark

Iceberg

S3

IAM

Secrets Manager

Snowflake

Job description

Mphasis is seeking a Senior Data Engineer to lead the development of scalable ETL pipelines and data operations within an onsite US NC setting. You will drive data integrity, leverage AWS Glue, PySpark, Iceberg, S3, IAM and Secrets Manager, and mentor a team of engineers to deliver enterprise-grade analytics platforms.

Your responsibilities include translating complex data challenges for senior stakeholders, validating synthetic datasets, and applying advanced analytics and generative AI to