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# Data Engineer strong skill in Python, SQL, ETL / ELT concepts

- **Company:** LTM Inc
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $140,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Data Analysis, Big Data, Customer Data Management, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Microsoft SQL Server, SQL Databases, Data Processing, Scripting, Data Storage Management, Data Pipelines
- **Published:** May 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0494574329e8f397

## About the Role

Do you have experience in Python?, Mandatory Skills : Python
Good to Have Skills : ANSI-SQL, ETL Concepts, MS SQL Server
Other details

## Description

Seeking a Senior Specialist with 7 to 11 years of experience in Python and Customer Data Platform to drive data integration and transformation initiatives, Develop and maintain scalable Python scripts and applications to support customer data platform operations Utilize expertise in Python to automate data processing workflows and enhance data quality Work with ETL concepts to design and implement data extraction transformation and loading processes Apply ANSISQL skills to query and manipulate large datasets within the customer data platform environment Collaborate with crossfunctional teams to integrate customer data from various sources ensuring consistency and accuracy Analyze complex data sets to support business insights and decisionmaking Stay updated with the latest trends and best practices in Python programming and customer data management, Lead the development and optimization of ETL pipelines leveraging Python and SQL Design data models and schemas to support efficient data storage and retrieval in the customer data platform Troubleshoot and resolve datarelated issues ensuring minimal downtime and data integrity Mentor junior team members on Python programming and ETL best practices Coordinate with stakeholders to gather requirements and translate them into technical solutions Ensure compliance with data governance and security policies Drive continuous improvement initiatives to enhance data processing efficiency and platform scalability


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