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Principal Data Engineer

INFOSYS NOVA HOLDINGS LLC Charlotte, MI

Charlotte, MI

Today

Full time Manager Analytics Big Data

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Job Description

The Principal Data Engineer role at INFOSYS NOVA HOLDINGS LLC focuses on designing, building, and sustaining scalable data solutions that support enterprise data engineering and analytics initiatives. The position emphasizes AWS-based implementation, Snowflake development, modern ETL/ELT practices, and strong ownership of data quality and governance across complex environments.

Responsibilities

Design, develop, and optimize scalable data pipelines and data integration solutions.
Develop and maintain data architectures for enterprise data warehouses, data lakes, and analytics platforms.
Build and optimize ETL/ELT processes using modern data engineering tooling and technologies.
Develop solutions using AWS services including S3, Lambda, and DynamoDB.
Design and implement data solutions in Snowflake and other cloud-based data environments.
Develop and maintain data models, including Data Vault modeling methodologies.
Write and optimize complex SQL and Python code for data processing and integration.
Use dbt to develop, transform, test, and manage data workflows.
Support data replication and integration using tools such as Qlik Replicate.
Work with enterprise data platforms including IBM InfoSphere DataStage and CP4D.
Develop and integrate APIs to support enterprise data and application needs.
Establish and maintain data quality, governance, metadata management, and data lineage processes.
Collaborate with engineering, architecture, analytics, and business teams to translate requirements into scalable data solutions.
Troubleshoot performance, data quality, and integration issues across complex data environments.
Provide technical leadership and guidance on data engineering architecture and best practices.

Requirements

Strong experience in data engineering and enterprise data environments.
Hands-on experience with AWS, particularly S3, Lambda, and/or DynamoDB.
Strong experience with Snowflake and cloud data warehousing.
Advanced Python and SQL development skills.
Experience developing ETL/ELT and data integration solutions.
Experience with data warehousing and data modeling, including Data Vault.
Experience with dbt or similar modern data transformation frameworks.
Experience with data quality, governance, metadata management, and data lineage.
Strong understanding of relational and non-relational databases.
Experience with enterprise data integration platforms and tools.
Ability to work independently while providing technical leadership to other engineers.

Technologies

AWS
S3
Lambda
DynamoDB
Snowflake
Python
SQL
ETL/ELT
Data Vault
dbt
Qlik Replicate
IBM InfoSphere DataStage
CP4D
APIs
Git
DevOps
NoSQL

Location and Work Arrangement

Onsite in Charlotte, NC/Detroit, MI. This role requires the ability to work from the client site on a regular basis.

Job Type

Full-Time

Preferred Qualifications

Experience with Qlik Replicate.
Experience with IBM InfoSphere DataStage.
Experience with IBM CP4D.
Experience developing and integrating APIs.
Experience with NoSQL databases.
Experience working with Git and DevOps practices.
Experience in large-scale enterprise environments.
Strong communication and cross-functional collaboration skills.

Work Authorization

Applicants must be authorized to work for any employer in the U.S. INFOSYS NOVA HOLDINGS LLC is unable to sponsor or take over sponsorship of an employment Visa at this time.

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