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# Data Engineer

- **Company:** Linq Global Group, LLC
- **Location:** Indianapolis, IN, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Applications Architecture, Big Data, Unix, Cloud Database, Databases, Continuous Integration, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Systems, Database Development, DevOps, Distributed Systems, Python (Programming Language), Microsoft SQL Server, SQL Stored Procedures, Enterprise Software Applications, Informatica Powercenter, Snowflake, Sybase, Pyspark, Information Technology, Integration Frameworks, Data Pipelines
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8ceb9d089a51d56c

## About the Role

Do you have experience in UNIX?, Do you have a Bachelor's degree?, We are seeking a highly skilled Data Engineer to design, build, and optimize data pipelines and storage solutions across enterprise systems. The ideal candidate will have strong expertise in SQL Server, Unix, Sybase, AWS Snowflake, Python, Snowspark, Pyspark, Java, Microsoft .NET, and Informatica, with the ability to deliver scalable solutions that support analytics, reporting, and business intelligence initiatives., * Bachelor's degree in Computer Science, Information Technology, or related field.

 * 3-5 years of experience in data engineering or database development.
 * Strong proficiency in SQL Server, Unix, Sybase, AWS Snowflake, Python, Snowspark, Pyspark, Java, .NET, and Informatica.
 * Experience with ETL processes, data modeling, and pipeline optimization.
 * Knowledge of cloud data architectures and modern data engineering practices.
 * Excellent problem-solving and communication skills., * Experience with big data platforms and distributed computing.
 * Familiarity with DevOps tools for CI/CD in data engineering.
 * Exposure to data governance frameworks and compliance standards.

## Description

* Develop and optimize SQL Server databases, queries, and stored procedures.
 * Design and maintain ETL workflows using Informatica and other integration tools.
 * Build scalable data pipelines leveraging Python, Pyspark, and Snowspark.
 * Implement cloud data solutions on AWS Snowflake for analytics and reporting.
 * Work with Sybase databases to ensure data integrity and performance.
 * Develop applications using Java and Microsoft .NET to support data workflows.
 * Collaborate with business analysts, data scientists, and stakeholders to translate requirements into technical solutions.
 * Ensure compliance with data governance, security, and quality standards.
 * Monitor, troubleshoot, and optimize data systems for performance and reliability.


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